pypownet下載pypownet源代碼下載

pypownet

PowerBuilder

1.0.0

下載

Pownet重構

Pypownet：Pownet模型優化的Python庫

Pownet是模擬大型電源系統的單位承諾和經濟派遣的最小成本優化模型。它已用於模型柬埔寨，老撾和泰國電力系統。 Pypowneter改善了Pownet的原始實現，並簡化了模型規範過程。它旨在幫助研究人員在Pownet模型上導入自己的電力系統數據，並作為優化求解器的基準。最終，我們希望我們的努力鼓勵更多地區在電力系統中採用可再生能源。

要求

Pypowner用Python 3.6編寫。它需要以下python包：（i）pyomo，（ii）numpy和（iii）pandas。它還需要優化求解器（例如CPLEX）。 Pypownetr已在Windows 10的Anaconda中進行了測試。

安裝

您可以使用以下方式執行最小安裝pypownetr ：

    git clone https://github.com/pacowong/pypownet.git
    cd pypownet
    pip install -e .

如何運行

 python pypownetr / solver . py datasets / kamal0013 / camb_2016 2016 1 2 1 glpk

如果您已經安裝了[GLPK]，則將使用柬埔寨電源系統上的數據執行模型。該腳本還生成了包含每個決策變量值的.CSV文件。

引用

如果您使用Pypowner進行研究，請引用以下論文（主要來自原始作者）：

 @article { chowdhury2020pownet ,
  title = { {PowNet: A Network-Constrained Unit Commitment/Economic Dispatch Model for Large-Scale Power Systems Analysis} } ,
  author = { Chowdhury, AFM Kamal and Kern, Jordan and Dang, Thanh Duc and Galelli, Stefano } ,
  journal = { Journal of Open Research Software } ,
  volume = { 8 } ,
  number = { 1 } ,
  year = { 2020 } ,
  publisher = { Ubiquity Press }
}

 @article { chowdhury2020expected ,
  title = { {Expected Benefits of Laos' Hydropower Development Curbed by Hydroclimatic Variability and Limited Transmission Capacity: Opportunities to Reform} } ,
  author = { Chowdhury, AFM Kamal and Dang, Thanh Duc and Bagchi, Arijit and Galelli, Stefano } ,
  journal = { Journal of Water Resources Planning and Management } ,
  volume = { 146 } ,
  number = { 10 } ,
  pages = { 05020019 } ,
  year = { 2020 } ,
  publisher = { American Society of Civil Engineers }
}

 @article { chowdhury2020greater ,
  title = { {The Greater Mekong's climate-water-energy nexus: how ENSO-triggered regional droughts affect power supply and CO2 emissions} } ,
  author = { Chowdhury, Kamal AFM and Dang, Thanh Duc and Nguyen, Hung TT and Koh, Rachel and Galelli, Stefano } ,
  journal = { Earth and Space Science Open Archive ESSOAr } ,
  year = { 2020 } ,
  publisher = { American Geophysical Union }
}

 @misc { pypownetr ,
    author = { Pak-Kan Wong } ,
    title = { {PyPowNetR: A Python Library for Refactored PowNet Model Optimization} } ,
    year = { 2020 } ,
    publisher = { GitHub } ,
    journal = { GitHub repository } ,
    howpublished = { url{https://github.com/pacowong/pypownet} } ,
}