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43c68a3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 | # UnitCommitment.jl: Optimization Package for Security-Constrained Unit Commitment
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
using JuMP, MathOptInterface, DataStructures
import JuMP: value, fix, set_name
"""
function build_model(;
instance::UnitCommitmentInstance,
optimizer = nothing,
formulation = Formulation(),
variable_names::Bool = false,
)::JuMP.Model
Build the JuMP model corresponding to the given unit commitment instance.
Arguments
---------
- `instance`:
the instance.
- `optimizer`:
the optimizer factory that should be attached to this model (e.g. Cbc.Optimizer).
If not provided, no optimizer will be attached.
- `formulation`:
the MIP formulation to use. By default, uses a formulation that combines
modeling components from different publications that provides good
performance across a wide variety of instances. An alternative formulation
may also be provided.
- `variable_names`:
if true, set variable and constraint names. Important if the model is going
to be exported to an MPS file. For large models, this can take significant
time, so it's disabled by default.
Examples
--------
```julia
# Read benchmark instance
instance = UnitCommitment.read_benchmark("matpower/case118/2017-02-01")
# Construct model (using state-of-the-art defaults)
model = UnitCommitment.build_model(
instance = instance,
optimizer = Cbc.Optimizer,
)
# Construct model (using customized formulation)
model = UnitCommitment.build_model(
instance = instance,
optimizer = Cbc.Optimizer,
formulation = Formulation(
pwl_costs = KnuOstWat2018.PwlCosts(),
ramping = MorLatRam2013.Ramping(),
startup_costs = MorLatRam2013.StartupCosts(),
transmission = ShiftFactorsFormulation(
isf_cutoff = 0.005,
lodf_cutoff = 0.001,
),
),
)
```
"""
function build_model(;
instance::UnitCommitmentInstance,
optimizer = nothing,
formulation = Formulation(),
variable_names::Bool = false,
)::JuMP.Model
@info "Building model..."
time_model = @elapsed begin
model = Model()
if optimizer !== nothing
set_optimizer(model, optimizer)
end
model[:obj] = AffExpr()
model[:instance] = instance
for g in instance.scenarios[1].thermal_units
_add_unit_commitment!(model, g, formulation)
end
for sc in instance.scenarios
@info "Building scenario $(sc.name) with " *
"probability $(sc.probability)"
_setup_transmission(formulation.transmission, sc)
for l in sc.lines
_add_transmission_line!(model, l, formulation.transmission, sc)
end
for b in sc.buses
_add_bus!(model, b, sc)
end
for ps in sc.price_sensitive_loads
_add_price_sensitive_load!(model, ps, sc)
end
for g in sc.thermal_units
_add_unit_dispatch!(model, g, formulation, sc)
end
for pu in sc.profiled_units
_add_profiled_unit!(model, pu, sc)
end
for su in sc.storage_units
_add_storage_unit!(model, su, sc)
end
_add_system_wide_eqs!(model, sc)
end
@objective(model, Min, model[:obj])
end
@info @sprintf("Built model in %.2f seconds", time_model)
if variable_names
_set_names!(model)
end
return model
end
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