1. 安裝Julia
- 在官網中Download Julia (julialang.org)下載合適的julia安裝包并進行安裝
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-
安裝完成后運行界面如下
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2. 配置IDE
- VScode Julia + VSCode - 知乎 (zhihu.com)
- 安裝插件:Julia 和 code runner
- 在擴展列表中,右擊 Julia,選擇擴展設置(Extension Settings)
- 將 Julia: Executable Path (julia.executablePath)的值改為 julia.exe 的絕對路徑。
- 如果路徑使用反斜線則需要轉義(\ -> \),建議使用正斜線(/)
- 如果之前添加了環境變量,可以只寫 julia // 或不寫
] 進入pkg模式,可以下載所需的包
? 進入help模式
;進入shell模式,可以執行shell命令
3. 安裝所需包
- 打開Julia, 進入pkg模式(])
- 輸入以下命令
add Cbc
add JuMP
add UnitCommitment
4. 求解Unit Commitment 問題,示例如下
新建sample.jl文件,運行即可
using Cbc
using JuMP
using UnitCommitment
import UnitCommitment:
Formulation,
KnuOstWat2018,
MorLatRam2013,
ShiftFactorsFormulation
# 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,
),
),
)
# Modify the model (e.g. add custom constraints)
@constraint(
model,
model[:is_on]["g3", 1] + model[:is_on]["g4", 1] <= 1,
)
# Solve model
UnitCommitment.optimize!(model)
# Extract solution
solution = UnitCommitment.solution(model)
UnitCommitment.write("output.json", solution)