ANL-CEEESA/UnitCommitment.jl
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Alinson S. Xavier
2020-11-16 07:41:10 -06:00
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<h3 id="21-solving-user-provided-instances">2.1 Solving user-provided instances</h3> <h3 id="21-solving-user-provided-instances">2.1 Solving user-provided instances</h3>
<p>The first step to use UC.jl is to construct a JSON file describing your unit commitment instance. See the <a href="">data format page</a> for a complete description of the data format UC.jl expects. The next steps, as shown below, are to read the instance from file, construct the optimization model, run the optimization and extract the optimal solution.</p> <p>The first step to use UC.jl is to construct a JSON file describing your unit commitment instance. See the <a href="">data format page</a> for a complete description of the data format UC.jl expects. The next steps, as shown below, are to read the instance from file, construct the optimization model, run the optimization and extract the optimal solution.</p>
<pre><code class="language-julia">using Cbc <pre><code class="language-julia">using Cbc
using JSON
using UnitCommitment using UnitCommitment
# Read instance # Read instance
instance = UnitCommitment.read(&quot;/path/to/input.json&quot;) instance = UnitCommitment.read(&quot;/path/to/input.json&quot;)
# Construct optimization model # Construct optimization model
model = UnitCommitment.build_model(instance, Cbc.Optimizer) model = UnitCommitment.build_model(instance=instance,
optimizer=Cbc.Optimizer)
# Solve model # Solve model
UnitCommitment.optimize!(model) UnitCommitment.optimize!(model)