From 53eef1104cb1ea9d0e693fc0c81738741da38528 Mon Sep 17 00:00:00 2001 From: "Documenter.jl" Date: Mon, 18 Mar 2024 22:23:34 +0000 Subject: [PATCH] build based on 4587ed0 --- stable | 2 +- v3 | 2 +- v3.3 | 1 + v3.3.0/api/internal/index.html | 824 +++++++++++++ v3.3.0/api/public/index.html | 701 +++++++++++ v3.3.0/assets/AbstractTree.png | Bin 0 -> 57654 bytes v3.3.0/assets/DynamicInjection.png | Bin 0 -> 67381 bytes v3.3.0/assets/System.png | Bin 0 -> 10944 bytes v3.3.0/assets/ThermalStandard.png | Bin 0 -> 52212 bytes v3.3.0/assets/documenter.js | 331 +++++ v3.3.0/assets/gen_metamodel.png | Bin 0 -> 168975 bytes v3.3.0/assets/inv_metamodel.png | Bin 0 -> 854916 bytes v3.3.0/assets/logo.png | Bin 0 -> 7972 bytes v3.3.0/assets/search.js | 267 ++++ v3.3.0/assets/themes/documenter-dark.css | 7 + v3.3.0/assets/themes/documenter-light.css | 9 + v3.3.0/assets/themeswap.js | 66 + v3.3.0/assets/warner.js | 49 + .../adding_new_types/index.html | 18 + .../developer/index.html | 2 + 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mode 100644 v3.3.0/tutorials/tutorials_data/case5_re.m create mode 100644 v3.3.0/tutorials/utils/docs_utils.jl diff --git a/stable b/stable index bc4c9fd45a..e682ea4299 120000 --- a/stable +++ b/stable @@ -1 +1 @@ -v3.2.3 \ No newline at end of file +v3.3.0 \ No newline at end of file diff --git a/v3 b/v3 index bc4c9fd45a..e682ea4299 120000 --- a/v3 +++ b/v3 @@ -1 +1 @@ -v3.2.3 \ No newline at end of file +v3.3.0 \ No newline at end of file diff --git a/v3.3 b/v3.3 new file mode 120000 index 0000000000..e682ea4299 --- /dev/null +++ b/v3.3 @@ -0,0 +1 @@ +v3.3.0 \ No newline at end of file diff --git a/v3.3.0/api/internal/index.html b/v3.3.0/api/internal/index.html new file mode 100644 index 0000000000..4e90ca5abd --- /dev/null +++ b/v3.3.0/api/internal/index.html @@ -0,0 +1,824 @@ + +Internal API Reference · PowerSystems.jl
Edit on GitHub

Internal API

PowerSystems._pti_dtypes — Constant

lookup array of data types for PTI file sections given by field_name, as enumerated by PSS/E Program Operation Manual.

source
PowerSystems.EX4VSA — Type
mutable struct EX4VSA <: AVR
+    Iflim::Float64
+    d::Float64
+    f::Float64
+    Spar::Float64
+    K1::Float64
+    K2::Float64
+    Oel_lim::MinMax
+    G::Float64
+    Ta::Float64
+    Tb::Float64
+    Te::Float64
+    E_lim::MinMax
+    V_ref::Float64
+    ext::Dict{String, Any}
+    states::Vector{Symbol}
+    n_states::Int
+    internal::InfrastructureSystemsInternal
+end

IEEE Excitation System for Voltage Security Assesment

Arguments

  • Iflim::Float64: OEL Field current limit, validation range: (0, nothing), action if invalid: warn
  • d::Float64: OEL parameter d, validation range: (0, nothing), action if invalid: warn
  • f::Float64: OEL parameter f, validation range: (0, nothing), action if invalid: warn
  • Spar::Float64: OEL parameter Spar, validation range: (0, nothing), action if invalid: warn
  • K1::Float64: OEL delay time constant, validation range: (0, nothing), action if invalid: warn
  • K2::Float64: OEL parameter K2, validation range: (0, nothing), action if invalid: warn
  • Oel_lim::MinMax: Oel integrator limits (Oelmin, Oelmax)
  • G::Float64: AVR Exciter Gain, validation range: (0, nothing), action if invalid: warn
  • Ta::Float64: Numerator lead-lag (lag) time constant in s, validation range: (0, nothing), action if invalid: warn
  • Tb::Float64: Denominator lead-lag (lag) time constant in s, validation range: (0, nothing), action if invalid: warn
  • Te::Float64: Exciter Time Constant in s, validation range: (0, nothing), action if invalid: warn
  • E_lim::MinMax: Voltage regulator limits (regulator output) (Emin, Emax)
  • V_ref::Float64: Reference Voltage Set-point, validation range: (0, nothing)
  • ext::Dict{String, Any}
  • states::Vector{Symbol}: The states are:
Vll: Lead-lag internal state,
+Vex: Exciter Output, 
+oel: OEL integrator state
  • n_states::Int: The EX4VSA has 3 states
  • internal::InfrastructureSystemsInternal: power system internal reference, do not modify
source
PowerSystems.EXST1 — Type
mutable struct EXST1 <: AVR
+    Tr::Float64
+    Vi_lim::MinMax
+    Tc::Float64
+    Tb::Float64
+    Ka::Float64
+    Ta::Float64
+    Vr_lim::MinMax
+    Kc::Float64
+    Kf::Float64
+    Tf::Float64
+    V_ref::Float64
+    ext::Dict{String, Any}
+    states::Vector{Symbol}
+    n_states::Int
+    internal::InfrastructureSystemsInternal
+end

IEEE Type ST1 Excitation System (PTI version)

Arguments

  • Tr::Float64: Voltage Measurement Time Constant in s, validation range: (0, nothing), action if invalid: warn
  • Vi_lim::MinMax: Voltage input limits (Vimin, Vimax)
  • Tc::Float64: Numerator lead-lag (lead) time constant in s, validation range: (0, nothing), action if invalid: warn
  • Tb::Float64: Denominator lead-lag (lag) time constant in s, validation range: (0, nothing), action if invalid: warn
  • Ka::Float64: Amplifier Gain, validation range: (0, nothing), action if invalid: warn
  • Ta::Float64: Amplifier Time Constant in s, validation range: (0, nothing), action if invalid: warn
  • Vr_lim::MinMax: Voltage regulator limits (regulator output) (Vrmin, Vrmax)
  • Kc::Float64: Current field constant limiter multiplier, validation range: (0, nothing)
  • Kf::Float64: Excitation control system stabilizer gain, validation range: (eps(), 0.3), action if invalid: warn
  • Tf::Float64: Excitation control system stabilizer time constant, validation range: (eps(), nothing), action if invalid: error
  • V_ref::Float64: Reference Voltage Set-point, validation range: (0, nothing)
  • ext::Dict{String, Any}
  • states::Vector{Symbol}: The states are:
Vm: Sensed Terminal Voltage,
+Vrll: Lead-Lag state,
+Vr: Regulator Output, 
+Vfb: Feedback state
  • n_states::Int: The EXST1 has 4 states
  • internal::InfrastructureSystemsInternal: power system internal reference, do not modify
source
PowerSystems.ExponentialLoad — Type
mutable struct ExponentialLoad <: StaticLoad
+    name::String
+    available::Bool
+    bus::ACBus
+    active_power::Float64
+    reactive_power::Float64
+    active_power_coefficient::Float64
+    reactive_power_coefficient::Float64
+    base_power::Float64
+    max_active_power::Float64
+    max_reactive_power::Float64
+    services::Vector{Service}
+    dynamic_injector::Union{Nothing, DynamicInjection}
+    ext::Dict{String, Any}
+    time_series_container::InfrastructureSystems.TimeSeriesContainer
+    internal::InfrastructureSystemsInternal
+end

Data structure for a static exponential load.

Arguments

  • name::String
  • available::Bool
  • bus::ACBus
  • active_power::Float64
  • reactive_power::Float64
  • active_power_coefficient::Float64: Coefficient relating voltage dependence for power P = P0 * V^α, validation range: (0, nothing), action if invalid: warn
  • reactive_power_coefficient::Float64: Coefficient relating voltage dependence for power Q = Q0 * V^β, validation range: (0, nothing), action if invalid: warn
  • base_power::Float64: Base power of the unit in MVA, validation range: (0, nothing), action if invalid: warn
  • max_active_power::Float64
  • max_reactive_power::Float64
  • services::Vector{Service}: Services that this device contributes to
  • dynamic_injector::Union{Nothing, DynamicInjection}: corresponding dynamic injection device
  • ext::Dict{String, Any}
  • time_series_container::InfrastructureSystems.TimeSeriesContainer: internal time_series storage
  • internal::InfrastructureSystemsInternal: power system internal reference, do not modify
source
PowerSystems.PowerFlowDataNetwork — Method
PowerFlowDataNetwork(
+    file::Union{IO, String};
+    kwargs...
+) -> PowerSystems.PowerFlowDataNetwork
+

Constructs PowerFlowDataNetwork from a raw file. Currently Supports PSSE data files v30, v32 and v33

source
PowerSystems.SwitchedAdmittance — Type
mutable struct SwitchedAdmittance <: ElectricLoad
+    name::String
+    available::Bool
+    bus::ACBus
+    Y::Complex{Float64}
+    number_of_steps::Int
+    Y_increase::Complex{Float64}
+    dynamic_injector::Union{Nothing, DynamicInjection}
+    services::Vector{Service}
+    ext::Dict{String, Any}
+    time_series_container::InfrastructureSystems.TimeSeriesContainer
+    internal::InfrastructureSystemsInternal
+end

Arguments

  • name::String
  • available::Bool
  • bus::ACBus
  • Y::Complex{Float64}: Initial impedance at N = 0
  • number_of_steps::Int: Number of steps for adjustable shunt
  • Y_increase::Complex{Float64}: Admittance increment for each of step increase
  • dynamic_injector::Union{Nothing, DynamicInjection}: corresponding dynamic injection model for admittance
  • services::Vector{Service}: Services that this device contributes to
  • ext::Dict{String, Any}
  • time_series_container::InfrastructureSystems.TimeSeriesContainer: internal time_series storage
  • internal::InfrastructureSystemsInternal: power system internal reference, do not modify
source
Base.convert — Method
convert(
+    _::Type{@NamedTuple{min::Float64, max::Float64}},
+    input::Tuple{Float64, Float64}
+) -> @NamedTuple{min::Float64, max::Float64}
+

Convert Tuple to Min Max Named Tuple

source
Base.convert — Method
convert(
+    _::Type{@NamedTuple{up::Float64, down::Float64}},
+    input::Tuple{Float64, Float64}
+) -> @NamedTuple{up::Float64, down::Float64}
+

Convert Tuple to Up Down Named Tuple

source
PowerSystems._convert_argument_types! — Method
_convert_argument_types!(
+    str::AbstractString,
+    struct_args::Vector
+) -> Any
+

Convert specific parameters to types that are not Float64 for specific inverter components

source
PowerSystems._create_starbus_from_transformer — Method
_create_starbus_from_transformer(
+    pm_data::Dict,
+    transformer::Dict,
+    starbus_id::Int64
+) -> Dict{String, Any}
+
create_starbus(pm_data, transformer)

Creates a starbus from a given three-winding transformer. "sourceid" is given by `["busi", "name", "I", "J", "K", "CKT"]` where "bus_i" and "name" are the modified names for the starbus, and "I", "J", "K" and "CKT" come from the originating transformer, in the PSS(R)E transformer specification.

source
PowerSystems._float2string — Method
_float2string(
+    v::AbstractFloat,
+    float_precision::Int64
+) -> Union{String, WeakRefStrings.PosLenString}
+

converts a float value into a string of fixed precision

sprintf would do the job but this work around is needed because sprintf cannot take format strings during runtime

source
PowerSystems._get_bus_value — Method
_get_bus_value(bus_i, field, pm_data) -> Any
+
_get_bus_value(bus_i, field, pm_data)

Returns the value of field of bus_i from the PowerModels data. Requires "bus" Dict to already be populated.

source
PowerSystems._get_line_elements — Method
_get_line_elements(
+    line::AbstractString
+) -> Tuple{Vector{T} where T<:SubString, Union{String, SubString}}
+
_get_line_elements(line)

Internal function. Uses regular expressions to extract all separate data elements from a line of a PTI file and populate them into an Array{String}. Comments, typically indicated at the end of a line with a '/' character, are also extracted separately, and Array{Array{String}, String} is returned.

source
PowerSystems._grey — Method
_grey(s::String) -> String
+

Makes a string grey in the terminal, does not seem to work well on Windows terminals more info can be found at https://en.wikipedia.org/wiki/ANSIescapecode

source
PowerSystems._import_remaining_comps! — Method
_import_remaining_comps!(
+    data_out::Dict,
+    data_in::Dict;
+    exclude
+)
+

Imports remaining top level component lists from data_in into data_out, excluding keys in exclude

source
PowerSystems._import_remaining_keys! — Method
_import_remaining_keys!(
+    comp_dest::Dict,
+    comp_src::Dict;
+    exclude
+)
+

Imports remaining keys from a source component into detestation component, excluding keys in exclude

source
PowerSystems._init_bus! — Method
_init_bus!(bus::Dict{String, Any}, id::Int64)
+
_init_bus!(bus, id)

Initializes a bus of id id with default values given in the PSS(R)E specification.

source
PowerSystems._instantiate_param_vector_size — Method
_instantiate_param_vector_size(
+    str::AbstractString,
+    param_map::Dict
+) -> Any
+

Construct appropiate vector size for components that collect parameters from more than 2 PSS/E components

source
PowerSystems._merge_cost_data! — Method
_merge_cost_data!(
+    data::Dict{String, Any}
+) -> Union{Nothing, Dict{String, Any}}
+

merges generator cost functions into generator data, if costs exist

source
PowerSystems._parse_dyr_components — Method
_parse_dyr_components(
+    dyr_file::AbstractString
+) -> Dict{Int64, Any}
+

Parse a .dyr file directly from its name by constructing its dictionary of dictionaries.

source
PowerSystems._parse_dyr_components — Method
_parse_dyr_components(data::Dict) -> Dict{Int64, Any}
+

Parse dictionary of dictionaries of data (from _parse_dyr_file) into a dictionary of struct components. The function receives the parsed dictionary and constructs a dictionary indexed by bus, that contains a dictionary with each dynamic generator and dynamic inverter components (indexed via its id).

For Generators, each dictionary indexed by id contains a vector with 5 of its components:

  • Machine
  • Shaft
  • AVR
  • TurbineGov
  • PSS

For Inverters, each dictionary indexed by id contains a vector with 7 of its components:

  • Converter
  • ActivePowerControl
  • ReactivePowerControl
  • InnerControl
  • DCSource
  • FrequencyEstimator
  • Filter
source
PowerSystems._parse_dyr_file — Method
_parse_dyr_file(file::AbstractString) -> Dict{Int64, Dict}
+

Parse .dyr file into a dictionary indexed by bus number. Each bus number key has a dictionary indexed by component type and id.

Comments in .dyr files are not supported (beginning of lines with //).

source
PowerSystems._parse_dyr_generator_components! — Method
_parse_dyr_generator_components!(
+    bus_dict::Dict,
+    componentID,
+    componentValues,
+    gen_map::Dict,
+    param_map::Dict
+)
+

Parse dictionary of data (from _parse_dyr_file) into a dictionary of struct components. The function receives the parsed dictionary and constructs a dictionary indexed by bus, that contains a dictionary with each dynamic generator indexed by its id.

source
PowerSystems._parse_dyr_inverter_components! — Method
_parse_dyr_inverter_components!(
+    bus_dict::Dict,
+    inv_dict::Dict,
+    componentID::Tuple{String, String},
+    inv_map::Dict
+)
+

Parse dictionary of data (from _parse_dyr_file) into a dictionary of struct components. The function receives the parsed dictionary and constructs a dictionary indexed by bus, that contains a dictionary with each dynamic inverter indexed by its id.

source
PowerSystems._parse_elements — Method
_parse_elements(
+    elements::Array,
+    dtypes::Array,
+    defaults::Dict,
+    section::AbstractString
+) -> Dict{String, Any}
+

This is an experimental method for parsing elements and setting defaults at the same time. It is not currently working but would reduce memory allocations if implemented correctly.

source
PowerSystems._parse_line_element! — Method
_parse_line_element!(
+    data::Dict,
+    elements::Array,
+    section::AbstractString
+)
+
_parse_line_element!(data, elements, section)

Internal function. Parses a single "line" of data elements from a PTI file, as given by elements which is an array of the line, typically split at ,. Elements are parsed into data types given by section and saved into data::Dict.

source
PowerSystems._parse_pti_data — Method
_parse_pti_data(data_io::IO) -> Dict{String, Array{Dict}}
+
_parse_pti_data(data_string, sections)

Internal function. Parse a PTI raw file into a Dict, given the data_string of the file and a list of the sections in the PTI file (typically given by default by get_pti_sections().

source
PowerSystems._populate_args — Method
_populate_args(param_map::Vector, val) -> Vector{Any}
+

Populate arguments in a vector for each dynamic component (except Shafts). Returns a vector with the parameter values of the argument of each component.

source
PowerSystems._psse2pm_branch! — Method
_psse2pm_branch!(
+    pm_data::Dict,
+    pti_data::Dict,
+    import_all::Bool
+)
+
_psse2pm_branch!(pm_data, pti_data)

Parses PSS(R)E-style Branch data into a PowerModels-style Dict. "source_id" is given by ["I", "J", "CKT"] in PSS(R)E Branch specification.

source
PowerSystems._psse2pm_bus! — Method
_psse2pm_bus!(
+    pm_data::Dict,
+    pti_data::Dict,
+    import_all::Bool
+)
+
_psse2pm_bus!(pm_data, pti_data)

Parses PSS(R)E-style Bus data into a PowerModels-style Dict. "source_id" is given by ["I", "NAME"] in PSS(R)E Bus specification.

source
PowerSystems._psse2pm_dcline! — Method
_psse2pm_dcline!(
+    pm_data::Dict,
+    pti_data::Dict,
+    import_all::Bool
+)
+
_psse2pm_dcline!(pm_data, pti_data)

Parses PSS(R)E-style Two-Terminal and VSC DC Lines data into a PowerModels compatible Dict structure by first converting them to a simple DC Line Model. For Two-Terminal DC lines, "sourceid" is given by ["IPR", "IPI", "NAME"] in the PSS(R)E Two-Terminal DC specification. For Voltage Source Converters, "sourceid" is given by ["IBUS1", "IBUS2", "NAME"], where "IBUS1" is "IBUS" of the first converter bus, and "IBUS2" is the "IBUS" of the second converter bus, in the PSS(R)E Voltage Source Converter specification.

source
PowerSystems._psse2pm_generator! — Method
_psse2pm_generator!(
+    pm_data::Dict,
+    pti_data::Dict,
+    import_all::Bool
+)
+
_psse2pm_generator!(pm_data, pti_data)

Parses PSS(R)E-style Generator data in a PowerModels-style Dict. "source_id" is given by ["I", "ID"] in PSS(R)E Generator specification.

source
PowerSystems._psse2pm_load! — Method
_psse2pm_load!(
+    pm_data::Dict,
+    pti_data::Dict,
+    import_all::Bool
+)
+
_psse2pm_load!(pm_data, pti_data)

Parses PSS(R)E-style Load data into a PowerModels-style Dict. "source_id" is given by ["I", "ID"] in the PSS(R)E Load specification.

source
PowerSystems._psse2pm_shunt! — Method
_psse2pm_shunt!(
+    pm_data::Dict,
+    pti_data::Dict,
+    import_all::Bool
+)
+
_psse2pm_shunt!(pm_data, pti_data)

Parses PSS(R)E-style Fixed and Switched Shunt data into a PowerModels-style Dict. "source_id" is given by ["I", "ID"] for Fixed Shunts, and ["I", "SWREM"] for Switched Shunts, as given by the PSS(R)E Fixed and Switched Shunts specifications.

source
PowerSystems._psse2pm_transformer! — Method
_psse2pm_transformer!(
+    pm_data::Dict,
+    pti_data::Dict,
+    import_all::Bool
+)
+
_psse2pm_transformer!(pm_data, pti_data)

Parses PSS(R)E-style Transformer data into a PowerModels-style Dict. "source_id" is given by ["I", "J", "K", "CKT", "winding"], where "winding" is 0 if transformer is two-winding, and 1, 2, or 3 for three-winding, and the remaining keys are defined in the PSS(R)E Transformer specification.

source
PowerSystems._pti_to_powermodels! — Method
_pti_to_powermodels!(
+    pti_data::Dict;
+    import_all,
+    validate,
+    correct_branch_rating
+) -> Dict{String, Any}
+
_pti_to_powermodels!(pti_data)

Converts PSS(R)E-style data parsed from a PTI raw file, passed by pti_data into a format suitable for use internally in PowerModels. Imports all remaining data from the PTI file if import_all is true (Default: false).

source
PowerSystems._read_data_row — Method
_read_data_row(
+    data::PowerSystemTableData,
+    row,
+    field_infos;
+    na_to_nothing
+) -> NamedTuple
+

Reads values from dataframe row and performs necessary conversions.

source
PowerSystems._remove_pwl_cost_duplicates! — Function
_remove_pwl_cost_duplicates!(id, comp, type_name) -> Bool
+_remove_pwl_cost_duplicates!(
+    id,
+    comp,
+    type_name,
+    tolerance
+) -> Bool
+

checks that each point in the a pwl function is unqiue, simplifies the function if duplicates appear

source
PowerSystems._simplify_pwl_cost! — Function
_simplify_pwl_cost!(id, comp, type_name) -> Bool
+_simplify_pwl_cost!(id, comp, type_name, tolerance) -> Bool
+

checks the slope of each segment in a pwl function, simplifies the function if the slope changes is below a tolerance

source
PowerSystems._split_loads_shunts! — Method
_split_loads_shunts!(data::Dict{String, Any})
+
_split_loads_shunts!(data)

Seperates Loads and Shunts in data under separate "load" and "shunt" keys in the PowerModels data format. Includes references to originating bus via "loadbus" and "shuntbus" keys, respectively.

source
PowerSystems._standardize_cost_terms! — Method
_standardize_cost_terms!(
+    components::Dict{String},
+    comp_order::Int64,
+    cost_comp_name::String
+) -> Set{Int64}
+

ensures all polynomial costs functions have at exactly comp_order terms

source
PowerSystems._type_array — Method
_type_array(
+    string_array::Array{T<:AbstractString, 1}
+) -> Vector
+

Attempts to determine the type of an array of strings extracted from a matlab file

source
PowerSystems._type_value — Method
_type_value(value_string::AbstractString) -> Any
+

Attempts to determine the type of a string extracted from a matlab file

source
PowerSystems.add_service_internal! — Method
add_service_internal!(device::Device, service::Service)
+

This function add a service to the component without checking if the component and the service are attached to the same system

source
PowerSystems.adequacy_check — Method
adequacy_check(sys::System)
+
adequacy_check(sys::System)

Checks the system for sum(generator ratings) >= sum(load ratings).

Arguments

  • sys::System: system
source
PowerSystems.bus_gen_lookup — Method
bus_gen_lookup(
+    gen_data::Dict{String},
+    bus_data::Dict{String}
+) -> Dict
+

builds a lookup list of what generators are connected to a given bus

source
PowerSystems.bus_load_lookup — Method
bus_load_lookup(
+    load_data::Dict{String},
+    bus_data::Dict{String}
+) -> Dict
+

builds a lookup list of what loads are connected to a given bus

source
PowerSystems.bus_shunt_lookup — Method
bus_shunt_lookup(
+    shunt_data::Dict{String},
+    bus_data::Dict{String}
+) -> Dict
+

builds a lookup list of what shunts are connected to a given bus

source
PowerSystems.bus_storage_lookup — Method
bus_storage_lookup(
+    storage_data::Dict{String},
+    bus_data::Dict{String}
+) -> Dict
+

builds a lookup list of what storage is connected to a given bus

source
PowerSystems.calc_branch_flow_ac — Method
calc_branch_flow_ac(data::Dict{String}) -> Dict{String, Any}
+

assumes a vaild ac solution is included in the data and computes the branch flow values

source
PowerSystems.calc_branch_flow_dc — Method
calc_branch_flow_dc(data::Dict{String}) -> Dict{String, Any}
+

assumes a vaild dc solution is included in the data and computes the branch flow values

source
PowerSystems.calc_connected_components — Method
calc_connected_components(
+    pm_data::Dict{String};
+    edges
+) -> Set{Set{Int64}}
+

computes the connected components of the network graph returns a set of sets of bus ids, each set is a connected component

source
PowerSystems.calc_cost_pwl_lines — Method
calc_cost_pwl_lines(comp_dict::Dict) -> Dict{Any, Any}
+

compute lines in m and b from from pwl cost models data is a list of components.

Can be run on data or ref data structures

source
PowerSystems.calc_power_balance — Method
calc_power_balance(data::Dict{String}) -> Dict{String, Any}
+

assumes a vaild solution is included in the data and computes the power balance at each bus

source
PowerSystems.calculate_saturation_coefficients — Method
calculate_saturation_coefficients(
+    E::Tuple{Float64, Float64},
+    Se::Tuple{Float64, Float64}
+) -> Tuple{Float64, Float64}
+

Obtain coefficients (A, B) of the function Se(x) = B(x - A)^2/x for Se(E1) = B(E1 - A)^2/E1 and Se(E2) = B(E2 - A)^2/E2 and uses the negative solution of the quadratic equation

source
PowerSystems.check_component_addition — Method
check_component_addition(
+    sys::System,
+    component::Component;
+    kwargs...
+)
+

Throws ArgumentError if a PowerSystems rule blocks addition to the system.

This method is tied with handlecomponentaddition!. If the methods are re-implemented for a subtype then whatever is added in handlecomponentaddition! must be checked here.

source
PowerSystems.check_status — Method
check_status(data::Dict{String})
+

checks that active components are not connected to inactive buses, otherwise prints warnings

source
PowerSystems.check_type — Method
check_type(typ, value) -> Any
+

Checks if the given value is of a given type, if not tries to make it that type

source
PowerSystems.correct_network_data! — Method
correct_network_data!(
+    data::Dict{String};
+    correct_branch_rating
+) -> Dict{String, Dict{Symbol, Set{Int64}}}
+

Runs various data quality checks on a PowerModels data dictionary. Applies modifications in some cases. Reports modified component ids.

source
PowerSystems.correct_transformer_parameters! — Method
correct_transformer_parameters!(
+    data::Dict{String}
+) -> Set{Int64}
+

checks that each branch has a reasonable transformer parameters

this is important because setting tap == 0.0 leads to NaN computations, which are hard to debug

source
PowerSystems.correct_voltage_angle_differences! — Function
correct_voltage_angle_differences!(
+    data::Dict{String}
+) -> Set{Int64}
+correct_voltage_angle_differences!(
+    data::Dict{String},
+    default_pad
+) -> Set{Int64}
+

checks that voltage angle differences are within 90 deg., if not tightens

source
PowerSystems.deactivate_isolated_components! — Method
deactivate_isolated_components!(data::Dict{String}) -> Bool
+

removes buses with single branch connections and without any other attached components. Also removes connected components without suffuceint generation or loads.

also deactivates 0 valued loads and shunts.

source
PowerSystems.get_avr_saturation — Method
get_avr_saturation(
+    E::Tuple{Float64, Float64},
+    Se::Tuple{Float64, Float64}
+) -> Tuple{Float64, Float64}
+

Obtain coefficients for an AVR

source
PowerSystems.get_dataframe — Method
get_dataframe(
+    data::PowerSystemTableData,
+    category::PowerSystems.InputCategoryModule.InputCategory
+) -> DataFrames.DataFrame
+

Return the dataframe for the category.

source
PowerSystems.get_exponential_saturation — Method
get_exponential_saturation(
+    Se::Tuple{Float64, Float64}
+) -> Tuple{Float64, Float64}
+

Obtain coefficients (A, B) of the function Se = Bx^A for Se(1.2) = B(1.2)^A and Se(1.0) = B(1.0)^A as: B = Se(1.0) and hence (1.2)^A = Se(1.2)/B -> A = log(Se(1.2)/B) / log(1.2)

source
PowerSystems.get_generator_mapping — Function
get_generator_mapping() -> Dict{NamedTuple, DataType}
+get_generator_mapping(
+    filename
+) -> Dict{NamedTuple, DataType}
+

Return a dict where keys are a tuple of input parameters (fuel, unit_type) and values are generator types.

source
PowerSystems.get_generator_type — Method
get_generator_type(
+    fuel,
+    unit_type,
+    mappings::Dict{NamedTuple, DataType}
+) -> Union{Nothing, DataType}
+

Return the PowerSystems generator type for this fuel and unit_type.

source
PowerSystems.get_quadratic_saturation — Method
get_quadratic_saturation(
+    Se::Tuple{Float64, Float64}
+) -> Tuple{Float64, Float64}
+

Obtain coefficients (A, B) of the function Se = B(x - A)^2/x for Se(1.2) = B(1.2 - A)^2/1.2 and Se(1.0) = B(1.0 - A)^2/1.0 as: Se(1.0) = (Se(1.2) * 1.2) /(1.2 - A)^2 * (1.0 - A)^2/1.0 that yields (1.2 - A)^2 Se(1.0) = Se(1.2) * 1.2 * (1.0 - A)^2 or expanding: (1.2 * Se(1.2) - Se(1.0)) A^2 + (2.4 Se(1.0) - 2 * 1.2 * Se(1.2)) A + (1.2 * Se(1.2) - 1.44 Se(1.0)) = 0 and uses the negative solution of the quadratic equation.

source
PowerSystems.get_series_susceptance — Method
get_series_susceptance(
+    b::Union{PhaseShiftingTransformer, TapTransformer}
+) -> Float64
+

Returns the series susceptance of a controllable transformer following the convention in power systems to define susceptance as the inverse of the imaginary part of the impedance. In the case of phase shifter transformers the angle is ignored.

source
PowerSystems.get_user_field — Method
get_user_field(
+    data::PowerSystemTableData,
+    category::PowerSystems.InputCategoryModule.InputCategory,
+    field::AbstractString
+) -> Any
+

Return the custom name stored in the user descriptor file.

Throws DataFormatError if a required value is not found in the file.

source
PowerSystems.get_user_fields — Method
get_user_fields(
+    data::PowerSystemTableData,
+    category::PowerSystems.InputCategoryModule.InputCategory
+) -> Any
+

Return a vector of user-defined fields for the category.

source
PowerSystems.has_component — Method
has_component(
+    _::Type{T<:Component},
+    sys::System,
+    name::AbstractString
+) -> Bool
+

Check to see if the component of type T with name exists.

source
PowerSystems.im_replicate — Method
im_replicate(
+    sn_data::Dict{String},
+    count::Int64,
+    global_keys::Set{String}
+) -> Dict{String, Any}
+

Transforms a single network into a multinetwork with several deepcopies of the original network

source
PowerSystems.is_attached — Method
is_attached(component::Component, sys::System) -> Bool
+

Return true if the component is attached to the system.

source
PowerSystems.isafield — Method
isafield(component::Component, field::Symbol) -> Any
+

Checks if a PowerSystemDevice has a field or subfield name.

source
PowerSystems.iterate_rows — Method
iterate_rows(
+    data::PowerSystemTableData,
+    category;
+    na_to_nothing
+) -> Channel{Any}
+

Return a NamedTuple of parameters from the descriptor file for each row of a dataframe, making type conversions as necessary.

Refer to the PowerSystems descriptor file for field names that will be created.

source
PowerSystems.load_csv_parser! — Method
load_csv_parser!(sys::System, data::PowerSystemTableData)
+
load_csv_parser!(sys::System, data::PowerSystemTableData)

Add loads to the System from the raw load data.

source
PowerSystems.loadzone_csv_parser! — Method
loadzone_csv_parser!(
+    sys::System,
+    data::PowerSystemTableData
+)
+
loadzone_csv_parser!(sys::System, data::PowerSystemTableData)

Add branches to the System from the raw data.

source
PowerSystems.make_bus — Method
make_bus(bus_dict::Dict{String, Any}) -> ACBus
+

Creates a PowerSystems.ACBus from a PowerSystems bus dictionary

source
PowerSystems.make_generator — Method
make_generator(
+    data::PowerSystemTableData,
+    gen,
+    cost_colnames,
+    bus,
+    gen_storage
+) -> Any
+

Creates a generator of any type.

source
PowerSystems.make_thermal_gen — Method
make_thermal_gen(
+    gen_name::AbstractString,
+    d::Dict,
+    bus::ACBus,
+    sys_mbase::Number
+) -> ThermalStandard
+

The polynomial term follows the convention that for an n-degree polynomial, at least n + 1 components are needed. c(p) = cn*p^n+...+c1p+c0 co is stored in the field in of the Econ Struct

source
PowerSystems.parse_psse — Method
parse_psse(io::IO; kwargs...) -> Dict{String, Any}
+
function parse_psse(io::IO; kwargs...)::Dict

Parses directly from iostream

source
PowerSystems.parse_psse — Method
parse_psse(filename::String; kwargs...) -> Dict{String, Any}
+
parse_psse(filename::String; kwargs...)::Dict

Parses directly from file

source
PowerSystems.parse_pti — Method
parse_pti(io::IO) -> Dict{String, Array{Dict}}
+
parse_pti(io::IO)

Reads PTI data in io::IO, returning a Dict of the data parsed into the proper types.

source
PowerSystems.parse_pti — Method
parse_pti(filename::String) -> Dict{String, Array{Dict}}
+
parse_pti(filename::String)

Open PTI raw file given by filename, returning a Dict of the data parsed into the proper types.

source
PowerSystems.propagate_topology_status! — Method
propagate_topology_status!(
+    data::Dict{String}
+) -> Union{Nothing, Bool}
+

finds active network buses and branches that are not necessary for the computation and sets their status to off.

Works on a PowerModels data dict, so that a it can be used without a GenericPowerModel object

Warning: this implementation has quadratic complexity, in the worst case

source
PowerSystems.read_gen! — Method
read_gen!(
+    sys::System,
+    data::Dict,
+    bus_number_to_bus::Dict{Int64, ACBus};
+    kwargs...
+)
+

Transfer generators to ps_dict according to their classification

source
PowerSystems.replicate — Method
replicate(
+    sn_data::Dict{String},
+    count::Int64;
+    global_keys
+) -> Dict{String, Any}
+

Turns in given single network data in multinetwork data with a count replicate of the given network. Note that this function performs a deepcopy of the network data. Significant multinetwork space savings can often be achieved by building application specific methods of building multinetwork with minimal data replication.

source
PowerSystems.resolve_swithces! — Method
resolve_swithces!(data::Dict{String})
+

given a network data dict merges buses that are connected by closed switches converting the dataset into a pure bus-branch model.

source
PowerSystems.simplify_network! — Method
simplify_network!(data::Dict{String}) -> Bool
+

attempts to deactive components that are not needed in the network by repeated calls to propagate_topology_status! and deactivate_isolated_components!

warning: this implementation has quadratic complexity, in the worst case

source
PowerSystems.total_capacity_rating — Method
total_capacity_rating(sys::System) -> Any
+
total_capacity_rating(sys::System)

Sum of system generator and storage ratings.

Arguments

  • sys::System: system
source
PowerSystems.total_load_rating — Method
total_load_rating(sys::System) -> Any
+
total_load_rating(sys::System)

Checks the system for sum(generator ratings) >= sum(load ratings).

Arguments

  • sys::System: system
source
PowerSystems.update_bus_ids! — Method
update_bus_ids!(
+    data::Dict{String},
+    bus_id_map::Dict{Int64, Int64};
+    injective
+)
+

given a network data dict and a mapping of current-bus-ids to new-bus-ids modifies the data dict to reflect the proposed new bus ids.

source
PowerSystems.update_data! — Method
update_data!(data::Dict{String}, new_data::Dict{String})
+

recursively applies new_data to data, overwriting information

source
PowerSystems.verify_device_eligibility — Method
verify_device_eligibility(
+    sys::System,
+    component::StaticInjection,
+    service::Service
+)
+

Validates if a device is eligible to contribute to a service.

Arguments

  • sys::System: PowerSystem System
  • component::StaticInjection: Static injection device
  • service::Service,: Service for which the device is eligible to contribute
source
diff --git a/v3.3.0/api/public/index.html b/v3.3.0/api/public/index.html new file mode 100644 index 0000000000..c075cf36d9 --- /dev/null +++ b/v3.3.0/api/public/index.html @@ -0,0 +1,701 @@ + +Public API Reference · PowerSystems.jl
Edit on GitHub

Public API Reference

Modeling

PowerSystems.Component — Type

Supertype for all PowerSystems components. All subtypes must include a InfrastructureSystemsInternal member. Subtypes should call InfrastructureSystemsInternal() by default, but also must provide a constructor that allows existing values to be deserialized.

source
PowerSystems.get_base_power — Method
get_base_power(c::Component) -> Float64
+
Default behavior of a component. If there is no base_power field, assume is in the system's base power.
source
PowerSystems.set_dynamic_injector! — Method
set_dynamic_injector!(
+    static_injector::StaticInjection,
+    dynamic_injector::Union{Nothing, DynamicInjection}
+)
+

Any StaticInjection struct that wants to support dynamic injectors must implement this method to set the value.

The method is only for internal uses.

source
PowerSystems.has_service — Method
has_service(device::Device, _::Type{T<:Service}) -> Bool
+

Return true if a service with type T is attached to the device.

source
PowerSystems.remove_service! — Method
remove_service!(device::Device, service::Service)
+

Remove a service from a device.

Throws ArgumentError if the service is not attached to the device.

source
PowerSystems.RenewableGen — Type

Supertype for all renewable generation technologies Requires the implementation of get_ratingand get_power_factor methods

source
PowerSystems.get_dynamic_components — Method
get_dynamic_components(
+    device::DynamicInjection
+) -> Base.Generator{I, F} where {I<:(Base.Iterators.Filter{PowerSystems.var"#6#8", I} where I<:(Base.Iterators.Zip{Is} where Is<:Tuple{Any, Tuple})), F<:(PowerSystems.var"#5#7"{<:DynamicInjection})}
+

Return all the dynamic components of a DynamicInjection device

source
PowerSystems.get_states_types — Method
get_states_types(d::DynamicComponent) -> Vector{StateTypes}
+
Default implementation of get_state_types for dynamic components. Assumes all states are
+Differential
source
PowerSystems.get_breakpoint_upperbounds — Method
get_breakpoint_upperbounds(
+    vc::VariableCost{Vector{Tuple{Float64, Float64}}}
+) -> Vector{Float64}
+

Calculates the upper bounds of a variable cost function represented as a collection of piece-wise linear segments.

source
PowerSystems.get_slopes — Method
get_slopes(
+    vc::VariableCost{Vector{Tuple{Float64, Float64}}}
+) -> Vector{Float64}
+

Calculates the slopes for the variable cost represented as a piece wise linear cost function. This function returns n - slopes for n - piecewise linear elements in the function. The first element of the return array corresponds to the average cost at the minimum operating point. If your formulation uses n -1 slopes, you can disregard the first component of the array. If the first point in the variable cost has a quantity of 0.0, the first slope returned will be 0.0, otherwise, the first slope represents the trajectory to get from the origin to the first point in the variable cost.

source

TimeSeries

InfrastructureSystems.TimeSeriesData — Type

Abstract type for time series stored in the system. Components store references to these through TimeSeriesMetadata values so that data can reside on storage media instead of memory.

InfrastructureSystems.Deterministic — Type
mutable struct Deterministic <: AbstractDeterministic
+    name::String
+    data::Union{
+        SortedDict{Dates.DateTime, Vector{CONSTANT}},
+        SortedDict{Dates.DateTime, Vector{POLYNOMIAL}},
+        SortedDict{Dates.DateTime, Vector{PWL}},
+    }
+    resolution::Dates.Period
+    scaling_factor_multiplier::Union{Nothing, Function}
+    internal::InfrastructureSystemsInternal
+end

A deterministic forecast for a particular data field in a Component.

Arguments

  • name::String: user-defined name
  • data::Union{SortedDict{Dates.DateTime, Vector{CONSTANT}}, SortedDict{Dates.DateTime, Vector{POLYNOMIAL}}, SortedDict{Dates.DateTime, Vector{PWL}}}: timestamp - scalingfactor
  • resolution::Dates.Period: forecast resolution
  • scaling_factor_multiplier::Union{Nothing, Function}: Applicable when the time series data are scaling factors. Called on the associated component to convert the values.
  • internal::InfrastructureSystemsInternal
InfrastructureSystems.Deterministic — Method
Deterministic(
+    name::AbstractString,
+    input_data::AbstractDict{Dates.DateTime, <:TimeSeries.TimeArray};
+    normalization_factor,
+    scaling_factor_multiplier
+) -> Deterministic
+

Construct Deterministic from a Dict of TimeArrays.

Arguments

  • name::AbstractString: user-defined name
  • input_data::AbstractDict{Dates.DateTime, TimeSeries.TimeArray}: time series data.
  • normalization_factor::NormalizationFactor = 1.0: optional normalization factor to apply to each data entry
  • scaling_factor_multiplier::Union{Nothing, Function} = nothing: If the data are scaling factors then this function will be called on the component and applied to the data when get_time_series_array is called.
  • timestamp = :timestamp: If the values are DataFrames is passed then this must be the column name that contains timestamps.
InfrastructureSystems.Deterministic — Method
Deterministic(
+    name::AbstractString,
+    filename::AbstractString,
+    component::InfrastructureSystems.InfrastructureSystemsComponent,
+    resolution::Dates.Period;
+    normalization_factor,
+    scaling_factor_multiplier
+) -> Deterministic
+

Construct Deterministic from a CSV file. The first column must be a timestamp in DateTime format and the columns the values in the forecast window.

Arguments

  • name::AbstractString: user-defined name
  • filename::AbstractString: name of CSV file containing data
  • component::InfrastructureSystemsComponent: component associated with the data
  • normalization_factor::NormalizationFactor = 1.0: optional normalization factor to apply to each data entry
  • scaling_factor_multiplier::Union{Nothing, Function} = nothing: If the data are scaling factors then this function will be called on the component and applied to the data when get_time_series_array is called.
InfrastructureSystems.Deterministic — Method
Deterministic(
+    name::AbstractString,
+    series_data::InfrastructureSystems.RawTimeSeries,
+    resolution::Dates.Period;
+    normalization_factor,
+    scaling_factor_multiplier
+) -> Deterministic
+

Construct Deterministic from RawTimeSeries.

InfrastructureSystems.Deterministic — Method
Deterministic(
+    forecast::Deterministic,
+    data
+) -> Deterministic
+

Construct a new Deterministic from an existing instance and a subset of data.

InfrastructureSystems.get_data — Method
get_data(
+    value::Deterministic
+) -> Union{DataStructures.SortedDict{Dates.DateTime, Vector{Vector{Tuple{Float64, Float64}}}}, DataStructures.SortedDict{Dates.DateTime, Vector{Float64}}, DataStructures.SortedDict{Dates.DateTime, Vector{Tuple{Float64, Float64}}}}
+

Get Deterministic data.

InfrastructureSystems.Probabilistic — Type
mutable struct Probabilistic <: Forecast
+    name::String
+    resolution::Dates.Period
+    percentiles::Vector{Float64}
+    data::Union{
+        SortedDict{Dates.DateTime, Matrix{CONSTANT}},
+        SortedDict{Dates.DateTime, Matrix{POLYNOMIAL}},
+        SortedDict{Dates.DateTime, Matrix{PWL}},
+    }
+    scaling_factor_multiplier::Union{Nothing, Function}
+    internal::InfrastructureSystemsInternal
+end

A Probabilistic forecast for a particular data field in a Component.

Arguments

  • name::String: user-defined name
  • resolution::Dates.Period: forecast resolution
  • percentiles::Vector{Float64}: Percentiles for the probabilistic forecast
  • data::Union{SortedDict{Dates.DateTime, Matrix{CONSTANT}}, SortedDict{Dates.DateTime, Matrix{POLYNOMIAL}}, SortedDict{Dates.DateTime, Matrix{PWL}}}: timestamp - scalingfactor
  • scaling_factor_multiplier::Union{Nothing, Function}: Applicable when the time series data are scaling factors. Called on the associated component to convert the values.
  • internal::InfrastructureSystemsInternal
InfrastructureSystems.Probabilistic — Method
Probabilistic(
+    name::AbstractString,
+    input_data::AbstractDict,
+    percentiles::Vector,
+    resolution::Dates.Period;
+    normalization_factor,
+    scaling_factor_multiplier
+) -> Probabilistic
+

Construct Probabilistic from a SortedDict of Arrays.

Arguments

  • name::AbstractString: user-defined name
  • input_data::AbstractDict{Dates.DateTime, Matrix{Float64}}: time series data.
  • percentiles: Percentiles represented in the probabilistic forecast
  • resolution::Dates.Period: The resolution of the forecast in Dates.Period`
  • normalization_factor::NormalizationFactor = 1.0: optional normalization factor to apply to each data entry
  • scaling_factor_multiplier::Union{Nothing, Function} = nothing: If the data are scaling factors then this function will be called on the component and applied to the data when get_time_series_array is called.
InfrastructureSystems.Probabilistic — Method
Probabilistic(
+    name::AbstractString,
+    input_data::AbstractDict{Dates.DateTime, <:TimeSeries.TimeArray},
+    percentiles::Vector{Float64};
+    normalization_factor,
+    scaling_factor_multiplier
+) -> Probabilistic
+

Construct Probabilistic from a Dict of TimeArrays.

Arguments

  • name::AbstractString: user-defined name
  • input_data::AbstractDict{Dates.DateTime, TimeSeries.TimeArray}: time series data.
  • percentiles: Percentiles represented in the probabilistic forecast
  • normalization_factor::NormalizationFactor = 1.0: optional normalization factor to apply to each data entry
  • scaling_factor_multiplier::Union{Nothing, Function} = nothing: If the data are scaling factors then this function will be called on the component and applied to the data when get_time_series_array is called.
  • timestamp = :timestamp: If the values are DataFrames is passed then this must be the column name that contains timestamps.
InfrastructureSystems.Probabilistic — Method
Probabilistic(
+    name::AbstractString,
+    series_data::InfrastructureSystems.RawTimeSeries,
+    percentiles::Vector,
+    resolution::Dates.Period;
+    normalization_factor,
+    scaling_factor_multiplier
+) -> Probabilistic
+

Construct Deterministic from RawTimeSeries.

InfrastructureSystems.get_data — Method
get_data(
+    value::Probabilistic
+) -> Union{DataStructures.SortedDict{Dates.DateTime, Matrix{Vector{Tuple{Float64, Float64}}}}, DataStructures.SortedDict{Dates.DateTime, Matrix{Float64}}, DataStructures.SortedDict{Dates.DateTime, Matrix{Tuple{Float64, Float64}}}}
+

Get Probabilistic data.

InfrastructureSystems.Scenarios — Type
mutable struct Scenarios <: Forecast
+    name::String
+    resolution::Dates.Period
+    scenario_count::Int64
+    data::Union{
+        SortedDict{Dates.DateTime, Matrix{CONSTANT}},
+        SortedDict{Dates.DateTime, Matrix{POLYNOMIAL}},
+        SortedDict{Dates.DateTime, Matrix{PWL}},
+    }
+    scaling_factor_multiplier::Union{Nothing, Function}
+    internal::InfrastructureSystemsInternal
+end

A Discrete Scenario Based time series for a particular data field in a Component.

Arguments

  • name::String: user-defined name
  • resolution::Dates.Period: forecast resolution
  • scenario_count::Int64: Number of scenarios
  • data::Union{SortedDict{Dates.DateTime, Matrix{CONSTANT}}, SortedDict{Dates.DateTime, Matrix{POLYNOMIAL}}, SortedDict{Dates.DateTime, Matrix{PWL}}}: timestamp - scalingfactor
  • scaling_factor_multiplier::Union{Nothing, Function}: Applicable when the time series data are scaling factors. Called on the associated component to convert the values.
  • internal::InfrastructureSystemsInternal
InfrastructureSystems.Scenarios — Method
Scenarios(
+    name::AbstractString,
+    input_data::AbstractDict,
+    resolution::Dates.Period;
+    normalization_factor,
+    scaling_factor_multiplier
+) -> Scenarios
+

Construct Scenarios from a SortedDict of Arrays.

Arguments

  • name::AbstractString: user-defined name
  • input_data::AbstractDict{Dates.DateTime, Matrix{Float64}}: time series data.
  • resolution::Dates.Period: The resolution of the forecast in Dates.Period`
  • normalization_factor::NormalizationFactor = 1.0: optional normalization factor to apply to each data entry
  • scaling_factor_multiplier::Union{Nothing, Function} = nothing: If the data are scaling factors then this function will be called on the component and applied to the data when get_time_series_array is called.
InfrastructureSystems.Scenarios — Method
Scenarios(
+    name::AbstractString,
+    input_data::AbstractDict{Dates.DateTime, <:TimeSeries.TimeArray};
+    normalization_factor,
+    scaling_factor_multiplier
+) -> Scenarios
+

Construct Scenarios from a Dict of TimeArrays.

Arguments

  • name::AbstractString: user-defined name
  • input_data::AbstractDict{Dates.DateTime, TimeSeries.TimeArray}: time series data.
  • normalization_factor::NormalizationFactor = 1.0: optional normalization factor to apply to each data entry
  • scaling_factor_multiplier::Union{Nothing, Function} = nothing: If the data are scaling factors then this function will be called on the component and applied to the data when get_time_series_array is called.
  • timestamp = :timestamp: If the values are DataFrames is passed then this must be the column name that contains timestamps.
InfrastructureSystems.get_data — Method
get_data(
+    value::Scenarios
+) -> Union{DataStructures.SortedDict{Dates.DateTime, Matrix{Vector{Tuple{Float64, Float64}}}}, DataStructures.SortedDict{Dates.DateTime, Matrix{Float64}}, DataStructures.SortedDict{Dates.DateTime, Matrix{Tuple{Float64, Float64}}}}
+

Get Scenarios data.

InfrastructureSystems.DeterministicSingleTimeSeries — Type
mutable struct DeterministicSingleTimeSeries <: AbstractDeterministic
+    single_time_series::SingleTimeSeries
+    initial_timestamp::Dates.DateTime
+    interval::Dates.Period
+    count::Int
+    horizon::Int
+end

A deterministic forecast for a particular data field in a Component that wraps a SingleTimeSeries.

Arguments

  • single_time_series::SingleTimeSeries: wrapped SingleTimeSeries object
  • initial_timestamp::Dates.DateTime: time series availability time
  • interval::Dates.Period: time step between forecast windows
  • count::Int: number of forecast windows
  • horizon::Int: length of this time series
InfrastructureSystems.SingleTimeSeries — Type
mutable struct SingleTimeSeries <: StaticTimeSeries
+    name::String
+    data::TimeSeries.TimeArray
+    scaling_factor_multiplier::Union{Nothing, Function}
+    internal::InfrastructureSystemsInternal
+end

A deterministic forecast for a particular data field in a Component.

Arguments

  • name::String: user-defined name
  • data::TimeSeries.TimeArray: timestamp - scalingfactor
  • scaling_factor_multiplier::Union{Nothing, Function}: Applicable when the time series data are scaling factors. Called on the associated component to convert the values.
  • internal::InfrastructureSystemsInternal
InfrastructureSystems.SingleTimeSeries — Method
SingleTimeSeries(
+    name::AbstractString,
+    filename::AbstractString,
+    component::InfrastructureSystems.InfrastructureSystemsComponent,
+    resolution::Dates.Period;
+    normalization_factor,
+    scaling_factor_multiplier
+) -> SingleTimeSeries
+

Construct SingleTimeSeries from a CSV file. The file must have a column that is the name of the component.

Arguments

  • name::AbstractString: user-defined name
  • filename::AbstractString: name of CSV file containing data
  • component::InfrastructureSystemsComponent: component associated with the data
  • resolution::Dates.Period: resolution of the time series
  • normalization_factor::NormalizationFactor = 1.0: optional normalization factor to apply to each data entry
  • scaling_factor_multiplier::Union{Nothing, Function} = nothing: If the data are scaling factors then this function will be called on the component and applied to the data when get_time_series_array is called.
InfrastructureSystems.SingleTimeSeries — Method
SingleTimeSeries(
+    name::AbstractString,
+    data::Union{DataFrames.DataFrame, TimeSeries.TimeArray};
+    normalization_factor,
+    scaling_factor_multiplier,
+    timestamp
+) -> SingleTimeSeries
+

Construct SingleTimeSeries from a TimeArray or DataFrame.

Arguments

  • name::AbstractString: user-defined name
  • data::Union{TimeSeries.TimeArray, DataFrames.DataFrame}: time series data
  • normalization_factor::NormalizationFactor = 1.0: optional normalization factor to apply to each data entry
  • scaling_factor_multiplier::Union{Nothing, Function} = nothing: If the data are scaling factors then this function will be called on the component and applied to the data when get_time_series_array is called.
  • timestamp = :timestamp: If a DataFrame is passed then this must be the column name that contains timestamps.
InfrastructureSystems.SingleTimeSeries — Method
SingleTimeSeries(
+    time_series::SingleTimeSeries,
+    data::TimeSeries.TimeArray
+) -> Any
+

Creates a new SingleTimeSeries from an existing instance and a subset of data.

InfrastructureSystems.SingleTimeSeries — Method
SingleTimeSeries(
+    name::String,
+    resolution::Dates.Period,
+    initial_time::Dates.DateTime,
+    time_steps::Int64
+) -> SingleTimeSeries
+

Construct SingleTimeSeries after constructing a TimeArray from initial_time and time_steps.

InfrastructureSystems.from — Method
from(
+    time_series::SingleTimeSeries,
+    timestamp
+) -> SingleTimeSeries
+

Return a time_series truncated starting with timestamp.

InfrastructureSystems.head — Method
head(time_series::SingleTimeSeries) -> Any
+

Return a time_series with only the first num values.

InfrastructureSystems.tail — Method
tail(time_series::SingleTimeSeries) -> Any
+

Return a time_series with only the ending num values.

InfrastructureSystems.to — Method
to(
+    time_series::SingleTimeSeries,
+    timestamp
+) -> SingleTimeSeries
+

Return a time_series truncated after timestamp.

InfrastructureSystems.when — Method
when(
+    time_series::SingleTimeSeries,
+    period::Function,
+    t::Integer
+) -> Any
+

Refer to TimeSeries.when(). Underlying data is copied.

InfrastructureSystems.get_window — Method
get_window(forecast::Forecast, index::Int64; len) -> Any
+

Return the forecast window corresponsing to interval index.

InfrastructureSystems.make_time_array — Method
make_time_array(
+    forecast::Forecast,
+    start_time::Dates.DateTime;
+    len
+) -> Any
+

Return a TimeSeries.TimeArray for one forecast window.

InfrastructureSystems.get_next_time_series_array! — Method
get_next_time_series_array!(
+    cache::InfrastructureSystems.TimeSeriesCache
+) -> Any
+

Return the next TimeSeries.TimeArray.

Returns nothing when all data has been read. Call reset! to restart. Call get_next_time to check the start time.

Reads from storage if the data is not already in cache.

Arguments

  • cache::StaticTimeSeriesCache: cached instance

System

PowerSystems.System — Type

System

A power system defined by fields for base_power, components, and time series.

System(base_power)
+System(base_power, buses, components...)
+System(base_power, buses, generators, loads, branches, storage, services; kwargs...)
+System(base_power, buses, generators, loads; kwargs...)
+System(file; kwargs...)
+System(; buses, generators, loads, branches, storage, base_power, services, kwargs...)
+System(; kwargs...)

Arguments

  • base_power::Float64: the base power value for the system
  • buses::Vector{ACBus}: an array of buses
  • components...: Each element must be an iterable containing subtypes of Component.

Keyword arguments

  • ext::Dict: Contains user-defined parameters. Should only contain standard types.
  • runchecks::Bool: Run available checks on input fields and when add_component! is called. Throws InvalidValue if an error is found.
  • time_series_in_memory::Bool=false: Store time series data in memory instead of HDF5.
  • enable_compression::Bool=false: Enable compression of time series data in HDF5.
  • compression::CompressionSettings: Allows customization of HDF5 compression settings.
  • config_path::String: specify path to validation config file
source
PowerSystems.System — Method
System(
+    sys_file::AbstractString,
+    dyr_file::AbstractString;
+    kwargs...
+) -> Any
+

Parse static and dynamic data directly from PSS/e text files. Automatically generates all the relationships between the available dynamic injection models and the static counterpart

Each dictionary indexed by id contains a vector with 5 of its components:

  • Machine
  • Shaft
  • AVR
  • TurbineGov
  • PSS

Files must be parsed from a .raw file (PTI data format) and a .dyr file.

Examples:

raw_file = "Example.raw"
+dyr_file = "Example.dyr"
+sys = System(raw_file, dyr_file)
source
PowerSystems.System — Method
System(
+    file_path::AbstractString;
+    assign_new_uuids,
+    kwargs...
+) -> Any
+

Constructs a System from a file path ending with .m, .RAW, or .json

If the file is JSON then assignnewuuids = true will generate new UUIDs for the system and all components.

source
PowerSystems.System — Method
System(
+    data,
+    base_power::Number;
+    internal,
+    kwargs...
+) -> System
+

Construct a System from InfrastructureSystems.SystemData

source
PowerSystems.System — Method
System(
+    base_power::Float64,
+    buses::Vector{ACBus},
+    components...;
+    kwargs...
+) -> System
+

System constructor when components are constructed externally.

source
PowerSystems.System — Method
System(
+    ::Nothing;
+    buses,
+    generators,
+    loads,
+    branches,
+    storage,
+    base_power,
+    services,
+    kwargs...
+) -> System
+

Constructs a non-functional System for demo purposes.

source
PowerSystems.System — Method
System(base_power::Number; kwargs...) -> System
+

Construct an empty System. Useful for building a System while parsing raw data.

source
PowerSystems.System — Method
System(
+    data::PowerSystemTableData;
+    time_series_resolution,
+    time_series_in_memory,
+    time_series_directory,
+    runchecks,
+    kwargs...
+) -> System
+

Construct a System from PowerSystemTableData data.

Arguments

  • time_series_resolution::Union{DateTime, Nothing}=nothing: only store time_series that match this resolution.
  • time_series_in_memory::Bool=false: Store time series data in memory instead of HDF5 file
  • time_series_directory=nothing: Store time series data in directory instead of tmpfs
  • runchecks::Bool=true: Validate struct fields.

Throws DataFormatError if time_series with multiple resolutions are detected.

  • A time_series has a different resolution than others.
  • A time_series has a different horizon than others.
source
PowerSystems.System — Method
System(pm_data::PowerModelsData; kwargs...) -> Any
+

Constructs a System from PowerModelsData.

Arguments

  • pm_data::Union{PowerModelsData, Union{String, IO}}: PowerModels data object or supported

load flow case (*.m, *.raw)

Keyword arguments

  • ext::Dict: Contains user-defined parameters. Should only contain standard types.
  • runchecks::Bool: Run available checks on input fields and when add_component! is called. Throws InvalidValue if an error is found.
  • time_series_in_memory::Bool=false: Store time series data in memory instead of HDF5.
  • config_path::String: specify path to validation config file
  • pm_data_corrections::Bool=true : Run the PowerModels data corrections (aka :validate in PowerModels)
  • import_all:Bool=false : Import all fields from PTI files

Examples

sys = System(
+    pm_data, config_path = "ACTIVSg25k_validation.json",
+    bus_name_formatter = x->string(x["name"]*"-"*string(x["index"])),
+    load_name_formatter = x->strip(join(x["source_id"], "_"))
+)
source
InfrastructureSystems.get_time_series_multiple — Function
get_time_series_multiple(sys::System; ...) -> Channel{Any}
+get_time_series_multiple(
+    sys::System,
+    filter_func;
+    type,
+    name
+) -> Channel{Any}
+

Return an iterator of time series in order of initial time.

Note that passing a filter function can be much slower than the other filtering parameters because it reads time series data from media.

Call collect on the result to get an array.

Arguments

  • data::SystemData: system
  • filter_func = nothing: Only return time series for which this returns true.
  • type = nothing: Only return time series with this type.
  • name = nothing: Only return time series matching this value.

Examples

for time_series in get_time_series_multiple(sys)
+    @show time_series
+end
+
+ts = collect(get_time_series_multiple(sys; type = SingleTimeSeries))
source
InfrastructureSystems.set_name! — Method
set_name!(
+    component::Component,
+    name::AbstractString
+) -> AbstractString
+

Set the name of a component.

Throws an exception if the component is attached to a system.

source
InfrastructureSystems.set_name! — Method
set_name!(
+    sys::System,
+    component::Component,
+    name::AbstractString
+)
+

Set the name for a component that is attached to the system.

source
InfrastructureSystems.to_json — Method
to_json(
+    sys::System,
+    filename::AbstractString;
+    user_data,
+    pretty,
+    force,
+    runchecks
+)
+

Serializes a system to a JSON string.

Arguments

  • sys::System: system
  • filename::AbstractString: filename to write

Keyword arguments

  • user_data::Union{Nothing, Dict} = nothing: optional metadata to record
  • pretty::Bool = false: whether to pretty-print the JSON
  • force::Bool = false: whether to overwrite existing files
  • check::Bool = false: whether to run system validation checks

Refer to check_component for exceptions thrown if check = true.

source
PowerSystems.add_component! — Method
add_component!(
+    sys::System,
+    dyn_injector::DynamicInjection,
+    static_injector::StaticInjection;
+    kwargs...
+)
+

Add a dynamic injector to the system.

Throws ArgumentError if the name does not match the staticinjector name. Throws ArgumentError if the staticinjector is not attached to the system.

All rules for the generic add_component! method also apply.

source
PowerSystems.add_component! — Method
add_component!(
+    sys::System,
+    component::Component;
+    skip_validation,
+    kwargs...
+)
+

Add a component to the system.

Throws ArgumentError if the component's name is already stored for its concrete type. Throws ArgumentError if any Component-specific rule is violated. Throws InvalidValue if any of the component's field values are outside of defined valid range.

Examples

sys = System(100.0)
+
+# Add a single component.
+add_component!(sys, bus)
+
+# Add many at once.
+buses = [bus1, bus2, bus3]
+generators = [gen1, gen2, gen3]
+foreach(x -> add_component!(sys, x), Iterators.flatten((buses, generators)))
source
PowerSystems.add_components! — Method
add_components!(sys::System, components)
+

Add many components to the system at once.

Throws ArgumentError if the component's name is already stored for its concrete type. Throws ArgumentError if any Component-specific rule is violated. Throws InvalidValue if any of the component's field values are outside of defined valid range.

Examples

sys = System(100.0)
+
+buses = [bus1, bus2, bus3]
+generators = [gen1, gen2, gen3]
+foreach(x -> add_component!(sys, x), Iterators.flatten((buses, generators)))
source
PowerSystems.add_service! — Method
add_service!(device::Device, service::Service, sys::System)
+

Similar to add_service! but for Service and Device already stored in the system. Performs validation checks on the device and the system

Arguments

  • device::Device: Device
  • service::Service: Service
  • sys::System: system
source
PowerSystems.add_service! — Method
add_service!(
+    sys::System,
+    service::Service,
+    contributing_devices;
+    kwargs...
+)
+

Similar to add_component! but for services.

Arguments

  • sys::System: system
  • service::Service: service to add
  • contributing_devices: Must be an iterable of type Device
source
PowerSystems.add_service! — Method
add_service!(
+    sys::System,
+    service::Service,
+    contributing_device::Device;
+    kwargs...
+)
+

Similar to add_component! but for services.

Arguments

  • sys::System: system
  • service::Service: service to add
  • contributing_device::Device: Valid Device
source
PowerSystems.add_service! — Method
add_service!(
+    sys::System,
+    service::StaticReserveGroup,
+    contributing_services::Vector{<:Service};
+    skip_validation,
+    kwargs...
+)
+

Similar to add_component! but for StaticReserveGroup.

Arguments

  • sys::System: system
  • service::StaticReserveGroup: service to add
  • contributing_services: contributing services to the group
source
PowerSystems.add_service! — Method
add_service!(
+    sys::System,
+    service::StaticReserveGroup;
+    skip_validation,
+    kwargs...
+)
+

Similar to add_component! but for StaticReserveGroup.

Arguments

  • sys::System: system
  • service::StaticReserveGroup: service to add
source
PowerSystems.add_time_series! — Method
add_time_series!(
+    sys::System,
+    metadata_file::AbstractString;
+    resolution
+)
+

Add time series data from a metadata file or metadata descriptors.

Arguments

  • sys::System: system
  • metadata_file::AbstractString: metadata file for timeseries that includes an array of IS.TimeSeriesFileMetadata instances or a vector.
  • resolution::DateTime.Period=nothing: skip time series that don't match this resolution.
source
PowerSystems.add_time_series! — Method
add_time_series!(
+    sys::System,
+    components,
+    time_series::TimeSeriesData
+)
+

Add the same time series data to multiple components.

This is significantly more efficent than calling add_time_series! for each component individually with the same data because in this case, only one time series array is stored.

Throws ArgumentError if a component is not stored in the system.

source
PowerSystems.add_time_series! — Method
add_time_series!(
+    sys::System,
+    component::Component,
+    time_series::TimeSeriesData
+)
+

Add time series data to a component.

Throws ArgumentError if the component is not stored in the system.

source
PowerSystems.add_time_series! — Method
add_time_series!(
+    sys::System,
+    file_metadata::Vector{InfrastructureSystems.TimeSeriesFileMetadata};
+    resolution
+)
+

Add time series data from a metadata file or metadata descriptors.

Arguments

  • sys::System: system
  • timeseries_metadata::Vector{IS.TimeSeriesFileMetadata}: metadata for timeseries
  • resolution::DateTime.Period=nothing: skip time series that don't match this resolution.
source
PowerSystems.check_component — Method
check_component(sys::System, component::Component)
+

Check the values of a component.

Throws InvalidValue if any of the component's field values are outside of defined valid range or if the custom validate method for the type fails its check.

source
PowerSystems.check_time_series_consistency — Method
check_time_series_consistency(
+    sys::System,
+    _::Type{T<:TimeSeriesData}
+) -> Union{Nothing, Tuple{Any, Int64}}
+

Checks time series in the system for inconsistencies.

For SingleTimeSeries, returns a Tuple of initial_timestamp and length.

This is a no-op for subtypes of Forecast because those are already guaranteed to be consistent.

Throws InfrastructureSystems.InvalidValue if any time series is inconsistent.

source
PowerSystems.convert_component! — Method
convert_component!(
+    sys::System,
+    line::Line,
+    linetype::Type{MonitoredLine};
+    kwargs...
+)
+

Converts a Line component to a MonitoredLine component and replaces the original in the system

source
PowerSystems.convert_component! — Method
convert_component!(
+    sys::System,
+    line::MonitoredLine,
+    linetype::Type{Line};
+    kwargs...
+)
+

Converts a MonitoredLine component to a Line component and replaces the original in the system

source
PowerSystems.convert_component! — Method
convert_component!(
+    sys::System,
+    old_load::PowerLoad,
+    new_type::Type{StandardLoad};
+    kwargs...
+)
+

Converts a PowerLoad component to a StandardLoad component and replaces the original in the system. Does not set any fields in StandardLoad that lack a PowerLoad equivalent

source
PowerSystems.get_bus — Method
get_bus(
+    sys::System,
+    name::AbstractString
+) -> Union{Nothing, ACBus}
+

Return bus with name.

source
PowerSystems.get_buses — Method
get_buses(
+    sys::System,
+    aggregator::AggregationTopology
+) -> Vector{ACBus}
+

Return a vector of buses contained within the AggregationTopology.

source
PowerSystems.get_buses — Method
get_buses(
+    sys::System,
+    bus_numbers::Set{Int64}
+) -> Vector{ACBus}
+

Return all buses values with bus_numbers.

source
PowerSystems.get_component — Method
get_component(
+    _::Type{T<:Component},
+    sys::System,
+    name::AbstractString
+) -> Any
+

Get the component of type T with name. Returns nothing if no component matches. If T is an abstract type then the names of components across all subtypes of T must be unique.

See get_components_by_name for abstract types with non-unique names across subtypes.

Throws ArgumentError if T is not a concrete type and there is more than one component with requested name

source
PowerSystems.get_components — Method
get_components(
+    _::Type{T<:Component},
+    sys::System
+) -> InfrastructureSystems.FlattenIteratorWrapper{T, I} where {T<:Component, I<:(Vector)}
+

Returns an iterator of components. T can be concrete or abstract. Call collect on the result if an array is desired.

Examples

iter = PowerSystems.get_components(ThermalStandard, sys)
+iter = PowerSystems.get_components(Generator, sys)
+iter = PowerSystems.get_components(x -> PowerSystems.get_available(x), Generator, sys)
+thermal_gens = get_components(ThermalStandard, sys) do gen
+    get_available(gen)
+end
+generators = collect(PowerSystems.get_components(Generator, sys))
+

See also: iterate_components

source
PowerSystems.get_components_by_name — Method
get_components_by_name(
+    _::Type{T<:Component},
+    sys::System,
+    name::AbstractString
+) -> Vector{T} where T<:InfrastructureSystems.InfrastructureSystemsComponent
+

Get the components of abstract type T with name. Note that PowerSystems enforces unique names on each concrete type but not across concrete types.

See get_component if the concrete type is known.

Throws ArgumentError if T is not an abstract type.

source
PowerSystems.get_components_in_aggregation_topology — Method
get_components_in_aggregation_topology(
+    _::Type{T<:StaticInjection},
+    sys::System,
+    aggregator::AggregationTopology
+) -> Vector{T} where T<:StaticInjection
+

Return a vector of components with buses in the AggregationTopology.

source
PowerSystems.get_ext — Method
get_ext(sys::System) -> Union{Nothing, Dict{String, Any}}
+

Return a user-modifiable dictionary to store extra information.

source
PowerSystems.get_time_series_counts — Method
get_time_series_counts(
+    sys::System
+) -> Tuple{Int64, Any, Any}
+

Return a tuple of counts of components with time series and total time series and forecasts.

source
PowerSystems.remove_component! — Method
remove_component!(sys::System, component::Component)
+

Remove a component from the system by its value.

Throws ArgumentError if the component is not stored.

source
PowerSystems.remove_component! — Method
remove_component!(
+    _::Type{T<:Component},
+    sys::System,
+    name::AbstractString
+)
+

Remove a component from the system by its name.

Throws ArgumentError if the component is not stored.

source
PowerSystems.remove_time_series! — Method
remove_time_series!(
+    sys::System,
+    _::Type{T<:TimeSeriesData},
+    component::Component,
+    name::String
+)
+

Remove the time series data for a component and time series type.

source
PowerSystems.set_runchecks! — Method
set_runchecks!(sys::System, value::Bool)
+

Enable or disable system checks. Applies to component addition as well as overall system consistency.

source
PowerSystems.set_units_base_system! — Method
set_units_base_system!(system::System, settings::String)
+

Sets the units base for the getter functions on the devices. It modifies the behavior of all getter functions

source

Additional Component Methods

PowerSystems.get_max_reactive_power — Method
get_max_reactive_power(d::RenewableDispatch) -> Any
+

Return the max reactive power for the Renewable Generation calculated as the rating * powerfactor if reactivepower_limits is nothing

source
InfrastructureSystems.get_time_series — Method
get_time_series(
+    ::Type{T<:TimeSeriesData},
+    component::InfrastructureSystems.InfrastructureSystemsComponent,
+    name::AbstractString;
+    start_time,
+    len,
+    count
+) -> Any
+

Return a time series corresponding to the given parameters.

Arguments

  • ::Type{T}: Concrete subtype of TimeSeriesData to return
  • component::InfrastructureSystemsComponent: Component containing the time series
  • name::AbstractString: name of time series
  • start_time::Union{Nothing, Dates.DateTime} = nothing: If nothing, use the initial_timestamp of the time series. If T is a subtype of Forecast then start_time must be the first timstamp of a window.
  • len::Union{Nothing, Int} = nothing: Length in the time dimension. If nothing, use the entire length.
  • count::Union{Nothing, Int} = nothing: Only applicable to subtypes of Forecast. Number of forecast windows starting at start_time to return. Defaults to all available.
InfrastructureSystems.get_time_series_array — Function
get_time_series_array(
+    component::InfrastructureSystems.InfrastructureSystemsComponent,
+    time_series::StaticTimeSeries;
+    ...
+) -> Any
+get_time_series_array(
+    component::InfrastructureSystems.InfrastructureSystemsComponent,
+    time_series::StaticTimeSeries,
+    start_time::Union{Nothing, Dates.DateTime};
+    len,
+    ignore_scaling_factors
+) -> Any
+

Return a TimeSeries.TimeArray from a cached StaticTimeSeries instance.

If the data are scaling factors then the stored scalingfactormultiplier will be called on the component and applied to the data unless ignorescalingfactors is true.

See also StaticTimeSeriesCache.

InfrastructureSystems.get_time_series_array — Method
get_time_series_array(
+    component::InfrastructureSystems.InfrastructureSystemsComponent,
+    forecast::Forecast,
+    start_time::Dates.DateTime;
+    len,
+    ignore_scaling_factors
+) -> Any
+

Return a TimeSeries.TimeArray for one forecast window from a cached Forecast instance.

If the data are scaling factors then the stored scalingfactormultiplier will be called on the component and applied to the data unless ignorescalingfactors is true.

See also ForecastCache.

InfrastructureSystems.get_time_series_array — Method
get_time_series_array(
+    ::Type{T<:TimeSeriesData},
+    component::InfrastructureSystems.InfrastructureSystemsComponent,
+    name::AbstractString;
+    start_time,
+    len,
+    ignore_scaling_factors
+) -> Any
+

Return a TimeSeries.TimeArray from storage for the given time series parameters.

If the data are scaling factors then the stored scalingfactormultiplier will be called on the component and applied to the data unless ignorescalingfactors is true.

InfrastructureSystems.get_time_series_timestamps — Function
get_time_series_timestamps(
+    component::InfrastructureSystems.InfrastructureSystemsComponent,
+    time_series::StaticTimeSeries;
+    ...
+) -> Vector{D} where D<:Dates.TimeType
+get_time_series_timestamps(
+    component::InfrastructureSystems.InfrastructureSystemsComponent,
+    time_series::StaticTimeSeries,
+    start_time::Union{Nothing, Dates.DateTime};
+    len
+) -> Vector{D} where D<:Dates.TimeType
+

Return a vector of timestamps from a cached StaticTimeSeries instance.

InfrastructureSystems.get_time_series_timestamps — Function
get_time_series_timestamps(
+    component::InfrastructureSystems.InfrastructureSystemsComponent,
+    forecast::Forecast;
+    ...
+)
+get_time_series_timestamps(
+    component::InfrastructureSystems.InfrastructureSystemsComponent,
+    forecast::Forecast,
+    start_time::Union{Nothing, Dates.DateTime};
+    len
+) -> Vector{D} where D<:Dates.TimeType
+

Return a vector of timestamps from a cached Forecast instance.

InfrastructureSystems.get_time_series_timestamps — Method
get_time_series_timestamps(
+    ::Type{T<:TimeSeriesData},
+    component::InfrastructureSystems.InfrastructureSystemsComponent,
+    name::AbstractString;
+    start_time,
+    len
+) -> Vector{D} where D<:Dates.TimeType
+

Return a vector of timestamps from storage for the given time series parameters.

InfrastructureSystems.get_time_series_values — Function
get_time_series_values(
+    component::InfrastructureSystems.InfrastructureSystemsComponent,
+    time_series::StaticTimeSeries;
+    ...
+) -> Any
+get_time_series_values(
+    component::InfrastructureSystems.InfrastructureSystemsComponent,
+    time_series::StaticTimeSeries,
+    start_time::Union{Nothing, Dates.DateTime};
+    len,
+    ignore_scaling_factors
+) -> Any
+

Return an Array of values from a cached StaticTimeSeries instance for the requested time series parameters.

InfrastructureSystems.get_time_series_values — Method
get_time_series_values(
+    component::InfrastructureSystems.InfrastructureSystemsComponent,
+    forecast::Forecast,
+    start_time::Dates.DateTime;
+    len,
+    ignore_scaling_factors
+) -> Any
+

Return an Array of values for one forecast window from a cached Forecast instance.

InfrastructureSystems.get_time_series_values — Method
get_time_series_values(
+    ::Type{T<:TimeSeriesData},
+    component::InfrastructureSystems.InfrastructureSystemsComponent,
+    name::AbstractString;
+    start_time,
+    len,
+    ignore_scaling_factors
+) -> Any
+

Return an Array of values from storage for the requested time series parameters.

If the data size is small and this will be called many times, consider using the version that accepts a cached TimeSeriesData instance.

Network Matrices

Power Flow

Parsing

PowerSystems.PowerSystemTableData — Method
PowerSystemTableData(
+    directory::AbstractString,
+    base_power::Float64,
+    user_descriptor_file::AbstractString;
+    descriptor_file,
+    generator_mapping_file,
+    timeseries_metadata_file
+) -> PowerSystemTableData
+

Reads in all the data stored in csv files The general format for data is folder: gen.csv branch.csv bus.csv .. load.csv

Arguments

  • directory::AbstractString: directory containing CSV files
  • base_power::Float64: base power for System
  • user_descriptor_file::AbstractString: customized input descriptor file
  • descriptor_file=POWER_SYSTEM_DESCRIPTOR_FILE: PowerSystems descriptor file
  • generator_mapping_file=GENERATOR_MAPPING_FILE: generator mapping configuration file
source
PowerSystems.PowerModelsData — Method
PowerModelsData(
+    file::Union{IO, String};
+    kwargs...
+) -> PowerModelsData
+

Constructs PowerModelsData from a raw file. Currently Supports MATPOWER and PSSE data files parsed by PowerModels.

source
PowerSystems.TamuSystem — Method
TamuSystem(tamu_folder::AbstractString; kwargs...) -> Any
+

Creates a system from a PSS/e .RAW (v33) load flow case, and an associated .csv with MW load time series data. The format is established by the Texas A&M University Test Case Archive

The general format for data is folder: [casename].raw [casename]loadtimeseriesMW.csv

Arguments

  • directory::AbstractString: directory containing RAW and CSV files

Examples

sys = TamuSystem(
+    "./ACTIVSg25k",
+    config_path = "ACTIVSg25k_validation.json",
+    bus_name_formatter = x->string(x["name"]*"-"*string(x["index"])),
+    load_name_formatter = x->strip(join(x["source_id"], "_"))
+)
source
PowerSystems.add_dyn_injectors! — Method
add_dyn_injectors!(sys::System, dyr_file::AbstractString)
+

Add to a system already created the dynamic components. The system should already be parsed from a .raw file.

Examples:

dyr_file = "Example.dyr"
+add_dyn_injectors!(sys, dyr_file)
source

Logging

PowerSystems.configure_logging — Method
configure_logging(
+;
+    console_level,
+    file_level,
+    filename
+) -> MultiLogger
+

Creates console and file loggers.

Note: Log messages may not be written to the file until flush() or close() is called on the returned logger.

Arguments

  • console_level = Logging.Error: level for console messages
  • file_level = Logging.Info: level for file messages
  • filename::Union{Nothing, AbstractString} = "power-systems.log": log file; pass nothing to disable file logging

Example

logger = configure_logging(console_level = Logging.Info)
+@info "log message"
+close(logger)
source
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/dev/null +++ b/v3.3.0/assets/documenter.js @@ -0,0 +1,331 @@ +// Generated by Documenter.jl +requirejs.config({ + paths: { + 'highlight-julia': 'https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.5.1/languages/julia.min', + 'headroom': 'https://cdnjs.cloudflare.com/ajax/libs/headroom/0.12.0/headroom.min', + 'jqueryui': 'https://cdnjs.cloudflare.com/ajax/libs/jqueryui/1.12.1/jquery-ui.min', + 'katex-auto-render': 'https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.13.24/contrib/auto-render.min', + 'jquery': 'https://cdnjs.cloudflare.com/ajax/libs/jquery/3.6.0/jquery.min', + 'headroom-jquery': 'https://cdnjs.cloudflare.com/ajax/libs/headroom/0.12.0/jQuery.headroom.min', + 'katex': 'https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.13.24/katex.min', + 'highlight': 'https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.5.1/highlight.min', + 'highlight-julia-repl': 'https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.5.1/languages/julia-repl.min', + }, + shim: { + "highlight-julia": { + "deps": [ + "highlight" + ] + }, + "katex-auto-render": { + "deps": [ + "katex" + ] + }, + "headroom-jquery": { + "deps": [ + "jquery", + "headroom" + ] + }, + "highlight-julia-repl": { + "deps": [ + "highlight" + ] + } +} +}); +//////////////////////////////////////////////////////////////////////////////// +require(['jquery', 'katex', 'katex-auto-render'], function($, katex, renderMathInElement) { +$(document).ready(function() { + renderMathInElement( + document.body, + { + "delimiters": [ + { + "left": "$", + "right": "$", + "display": false + }, + { + "left": "$$", + "right": "$$", + "display": true + }, + { + "left": "\\[", + "right": "\\]", + "display": true + } + ] +} + + ); +}) + +}) +//////////////////////////////////////////////////////////////////////////////// +require(['jquery', 'highlight', 'highlight-julia', 'highlight-julia-repl'], function($) { +$(document).ready(function() { + hljs.highlightAll(); +}) + +}) +//////////////////////////////////////////////////////////////////////////////// +require([], function() { +function addCopyButtonCallbacks() { + for (const el of document.getElementsByTagName("pre")) { + const button = document.createElement("button"); + button.classList.add("copy-button", "fas", "fa-copy"); + el.appendChild(button); + + const success = function () { + button.classList.add("success", "fa-check"); + button.classList.remove("fa-copy"); + }; + + const failure = function () { + button.classList.add("error", "fa-times"); + button.classList.remove("fa-copy"); + }; + + button.addEventListener("click", function () { + copyToClipboard(el.innerText).then(success, failure); + + setTimeout(function () { + button.classList.add("fa-copy"); + button.classList.remove("success", "fa-check", "fa-times"); + }, 5000); + }); + } +} + +function copyToClipboard(text) { + // clipboard API is only available in secure contexts + if (window.navigator && window.navigator.clipboard) { + return window.navigator.clipboard.writeText(text); + } else { + return new Promise(function (resolve, reject) { + try { + const el = document.createElement("textarea"); + el.textContent = text; + el.style.position = "fixed"; + el.style.opacity = 0; + document.body.appendChild(el); + el.select(); + document.execCommand("copy"); + + resolve(); + } catch (err) { + reject(err); + } finally { + document.body.removeChild(el); + } + }); + } +} + +if (document.readyState === "loading") { + document.addEventListener("DOMContentLoaded", addCopyButtonCallbacks); +} else { + addCopyButtonCallbacks(); +} + +}) +//////////////////////////////////////////////////////////////////////////////// +require(['jquery', 'headroom', 'headroom-jquery'], function($, Headroom) { + +// Manages the top navigation bar (hides it when the user starts scrolling down on the +// mobile). +window.Headroom = Headroom; // work around buggy module loading? +$(document).ready(function() { + $('#documenter .docs-navbar').headroom({ + "tolerance": {"up": 10, "down": 10}, + }); +}) + +}) +//////////////////////////////////////////////////////////////////////////////// +require(['jquery'], function($) { + +// Modal settings dialog +$(document).ready(function() { + var settings = $('#documenter-settings'); + $('#documenter-settings-button').click(function(){ + settings.toggleClass('is-active'); + }); + // Close the dialog if X is clicked + $('#documenter-settings button.delete').click(function(){ + settings.removeClass('is-active'); + }); + // Close dialog if ESC is pressed + $(document).keyup(function(e) { + if (e.keyCode == 27) settings.removeClass('is-active'); + }); +}); + +}) +//////////////////////////////////////////////////////////////////////////////// +require(['jquery'], function($) { + +// Manages the showing and hiding of the sidebar. +$(document).ready(function() { + var sidebar = $("#documenter > .docs-sidebar"); + var sidebar_button = $("#documenter-sidebar-button") + sidebar_button.click(function(ev) { + ev.preventDefault(); + sidebar.toggleClass('visible'); + if (sidebar.hasClass('visible')) { + // Makes sure that the current menu item is visible in the sidebar. + $("#documenter .docs-menu a.is-active").focus(); + } + }); + $("#documenter > .docs-main").bind('click', function(ev) { + if ($(ev.target).is(sidebar_button)) { + return; + } + if (sidebar.hasClass('visible')) { + sidebar.removeClass('visible'); + } + }); +}) + +// Resizes the package name / sitename in the sidebar if it is too wide. +// Inspired by: https://github.com/davatron5000/FitText.js +$(document).ready(function() { + e = $("#documenter .docs-autofit"); + function resize() { + var L = parseInt(e.css('max-width'), 10); + var L0 = e.width(); + if(L0 > L) { + var h0 = parseInt(e.css('font-size'), 10); + e.css('font-size', L * h0 / L0); + // TODO: make sure it survives resizes? + } + } + // call once and then register events + resize(); + $(window).resize(resize); + $(window).on('orientationchange', resize); +}); + +// Scroll the navigation bar to the currently selected menu item +$(document).ready(function() { + var sidebar = $("#documenter .docs-menu").get(0); + var active = $("#documenter .docs-menu .is-active").get(0); + if(typeof active !== 'undefined') { + sidebar.scrollTop = active.offsetTop - sidebar.offsetTop - 15; + } +}) + +}) +//////////////////////////////////////////////////////////////////////////////// +require(['jquery'], function($) { + +function set_theme(theme) { + var active = null; + var disabled = []; + for (var i = 0; i < document.styleSheets.length; i++) { + var ss = document.styleSheets[i]; + var themename = ss.ownerNode.getAttribute("data-theme-name"); + if(themename === null) continue; // ignore non-theme stylesheets + // Find the active theme + if(themename === theme) active = ss; + else disabled.push(ss); + } + if(active !== null) { + active.disabled = false; + if(active.ownerNode.getAttribute("data-theme-primary") === null) { + document.getElementsByTagName('html')[0].className = "theme--" + theme; + } else { + document.getElementsByTagName('html')[0].className = ""; + } + disabled.forEach(function(ss){ + ss.disabled = true; + }); + } + + // Store the theme in localStorage + if(typeof(window.localStorage) !== "undefined") { + window.localStorage.setItem("documenter-theme", theme); + } else { + console.error("Browser does not support window.localStorage"); + } +} + +// Theme picker setup +$(document).ready(function() { + // onchange callback + $('#documenter-themepicker').change(function themepick_callback(ev){ + var themename = $('#documenter-themepicker option:selected').attr('value'); + set_theme(themename); + }); + + // Make sure that the themepicker displays the correct theme when the theme is retrieved + // from localStorage + if(typeof(window.localStorage) !== "undefined") { + var theme = window.localStorage.getItem("documenter-theme"); + if(theme !== null) { + $('#documenter-themepicker option').each(function(i,e) { + e.selected = (e.value === theme); + }) + } else { + $('#documenter-themepicker option').each(function(i,e) { + e.selected = $("html").hasClass(`theme--${e.value}`); + }) + } + } +}) + +}) +//////////////////////////////////////////////////////////////////////////////// +require(['jquery'], function($) { + +// update the version selector with info from the siteinfo.js and ../versions.js files +$(document).ready(function() { + // If the version selector is disabled with DOCUMENTER_VERSION_SELECTOR_DISABLED in the + // siteinfo.js file, we just return immediately and not display the version selector. + if (typeof DOCUMENTER_VERSION_SELECTOR_DISABLED === 'boolean' && DOCUMENTER_VERSION_SELECTOR_DISABLED) { + return; + } + + var version_selector = $("#documenter .docs-version-selector"); + var version_selector_select = $("#documenter .docs-version-selector select"); + + version_selector_select.change(function(x) { + target_href = version_selector_select.children("option:selected").get(0).value; + window.location.href = target_href; + }); + + // add the current version to the selector based on siteinfo.js, but only if the selector is empty + if (typeof DOCUMENTER_CURRENT_VERSION !== 'undefined' && $('#version-selector > option').length == 0) { + var option = $(""); + version_selector_select.append(option); + } + + if (typeof DOC_VERSIONS !== 'undefined') { + var existing_versions = version_selector_select.children("option"); + var existing_versions_texts = existing_versions.map(function(i,x){return x.text}); + DOC_VERSIONS.forEach(function(each) { + var version_url = documenterBaseURL + "/../" + each; + var existing_id = $.inArray(each, existing_versions_texts); + // if not already in the version selector, add it as a new option, + // otherwise update the old option with the URL and enable it + if (existing_id == -1) { + var option = $(""); + version_selector_select.append(option); + } else { + var option = 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