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115 lines
3.6 KiB
115 lines
3.6 KiB
# UnitCommitment.jl: Optimization Package for Security-Constrained Unit Commitment
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# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
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# Released under the modified BSD license. See COPYING.md for more details.
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using JuMP, MathOptInterface, DataStructures
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import JuMP: value, fix, set_name
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"""
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function build_model(;
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instance::UnitCommitmentInstance,
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optimizer = nothing,
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formulation = Formulation(),
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variable_names::Bool = false,
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)::JuMP.Model
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Build the JuMP model corresponding to the given unit commitment instance.
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Arguments
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---------
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- `instance`:
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the instance.
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- `optimizer`:
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the optimizer factory that should be attached to this model (e.g. Cbc.Optimizer).
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If not provided, no optimizer will be attached.
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- `formulation`:
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the MIP formulation to use. By default, uses a formulation that combines
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modeling components from different publications that provides good
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performance across a wide variety of instances. An alternative formulation
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may also be provided.
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- `variable_names`:
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if true, set variable and constraint names. Important if the model is going
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to be exported to an MPS file. For large models, this can take significant
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time, so it's disabled by default.
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Examples
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--------
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```julia
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# Read benchmark instance
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instance = UnitCommitment.read_benchmark("matpower/case118/2017-02-01")
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# Construct model (using state-of-the-art defaults)
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model = UnitCommitment.build_model(
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instance = instance,
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optimizer = Cbc.Optimizer,
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)
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# Construct model (using customized formulation)
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model = UnitCommitment.build_model(
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instance = instance,
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optimizer = Cbc.Optimizer,
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formulation = Formulation(
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pwl_costs = KnuOstWat2018.PwlCosts(),
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ramping = MorLatRam2013.Ramping(),
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startup_costs = MorLatRam2013.StartupCosts(),
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transmission = ShiftFactorsFormulation(
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isf_cutoff = 0.005,
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lodf_cutoff = 0.001,
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),
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),
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)
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```
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"""
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function build_model(;
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instance::UnitCommitmentInstance,
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optimizer = nothing,
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formulation = Formulation(),
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variable_names::Bool = false,
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)::JuMP.Model
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@info "Building model..."
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time_model = @elapsed begin
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model = Model()
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if optimizer !== nothing
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set_optimizer(model, optimizer)
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end
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model[:obj] = AffExpr()
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model[:instance] = instance
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for g in instance.scenarios[1].thermal_units
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_add_unit_commitment!(model, g, formulation)
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end
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for sc in instance.scenarios
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@info "Building scenario $(sc.name) with " *
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"probability $(sc.probability)"
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_setup_transmission(formulation.transmission, sc)
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for l in sc.lines
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_add_transmission_line!(model, l, formulation.transmission, sc)
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end
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for b in sc.buses
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_add_bus!(model, b, sc)
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end
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for ps in sc.price_sensitive_loads
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_add_price_sensitive_load!(model, ps, sc)
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end
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for g in sc.thermal_units
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_add_unit_dispatch!(model, g, formulation, sc)
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end
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for pu in sc.profiled_units
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_add_profiled_unit!(model, pu, sc)
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end
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for su in sc.storage_units
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_add_storage_unit!(model, su, sc)
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end
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_add_system_wide_eqs!(model, sc)
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end
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@objective(model, Min, model[:obj])
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end
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@info @sprintf("Built model in %.2f seconds", time_model)
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if variable_names
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_set_names!(model)
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end
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return model
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end
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