ac_opf_model(filename; backend, T, form)

Return ExaModel, variables, and constraints for a static AC Optimal Power Flow (ACOPF) problem from the given file.

Arguments

• filename::String: Path to the data file.
• backend: The solver backend to use. Default if nothing.
• T: The numeric type to use (default is Float64).
• form: Voltage representation, either :polar or :rect. Default is :polar.
• user_callback: User function that extends the model
• kwargs...: Additional keyword arguments passed to the model builder.

Returns

A vector (model, variables, constraints):

• model: An ExaModel object.
• variables: NamedTuple of model variables.
• constraints: NamedTuple of model constraints.

mpopf_model(filename, curve; kwargs...)
mpopf_model(filename, active_power_data, reactive_power_data; kwargs...)
mpopf_model(filename, curve, discharge_func::Function; kwargs...)
mpopf_model(filename, active_power_data, reactive_power_data, discharge_func::Function; kwargs...)

Construct a multi-period AC optimal power flow (MPOPF) model using different formats of load input data.

Arguments

• filename::String: Path to the network data file (e.g., MATPOWER).
• curve::AbstractVector: A time series of demand multiplier values.
• active_power_data::String: Path to a matrix of active power loads (Pd) per bus and time.
• reactive_power_data::String: Path to a matrix of reactive power loads (Qd).
• discharge_func::Function: (Optional) A function specifying battery discharge losses.

Keyword Arguments

• N::Int: Number of time periods (inferred if not provided).
• corrective_action_ratio::Float64: Ratio of corrective power action allowed (default = 0.1).
• backend: Optimization solver backend (deault = nothing).
• form::Symbol: Power flow formulation, either :polar or :rect (default = :polar).
• T::Type: Floating-point type for numeric variables (default = Float64).
• storage_complementarity_constraint::Bool: Whether to enforce complementarity for storage (only for some methods, default = false).
• user_callback: User function that extends the model
• kwargs...: Additional arguments passed to the solver or builder.

Returns

A vector (model::ExaModel object, variables::NamedTuple of variables, constraints::NamedTuple of constraints) representing the MPOPF model.

Method Variants

This function is overloaded for different combinations of input:

1. mpopf_model(filename, curve)
2. mpopf_model(filename, active_power_data, reactive_power_data)
3. mpopf_model(filename, curve, discharge_func)
4. mpopf_model(filename, active_power_data, reactive_power_data, discharge_func)

Process data from input (problem) file into a more convenient form.

data should be the dict obtained by parsing an input JSON file. The return type is a NamedTuple with fields that are useful for constructing the scheduling and ACOPF models.