Adaptive robust optimization framework for day-ahead microgrid scheduling
作者: Mohammad Reza EbrahimiNima Amjady
作者单位: 1Department of Electrical Engineering, Semnan University, Semnan, Iran
刊名: International Journal of Electrical Power and Energy Systems, 2019, Vol.107 , pp.213-223
来源数据库: Elsevier Journal
DOI: 10.1016/j.ijepes.2018.11.029
关键词: Adaptive robust optimizationBenders decompositionConic programmingMicrogridPrimal cutting planeUncertainty
英文摘要: Abstract(#br)This paper proposes a framework to address day-ahead scheduling of a microgrid (MG) with wind, solar and micro-turbine distributed generators as well as batteries, considering the associated uncertainties and AC power flow constraints. The problem uncertainties are wind and solar generations, demand, and grid electricity price. The uncertainties are modelled using bounded intervals within adaptive robust optimization method. Unlike previous robust models presented for MG scheduling, our proposed adaptive robust model optimizes both wait-and-see and here-and-now decisions simultaneously which leads to obtaining a better operating point. In order to make wait-and-see and here-and-now decisions and immunize the model against worst case realizations, the proposed MG scheduling...
全文获取路径: Elsevier  (合作)

  • optimization 最佳化
  • microgrid 微细网眼
  • scheduling 
  • robust 牢固的
  • cutting 伐木
  • framework 构架
  • ahead 向前
  • programming 程序设计
  • plane 平面
  • decomposition 分解