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  • 标题:Virtual Power Plant and Microgrids controller for Energy Management based on optimization techniques
  • 本地全文:下载
  • 作者:Maher G. M. Abdolrasol ; Azah Mohamed ; M A Hannan Maher G. M. Abdolrasol
  • 期刊名称:Journal of Electrical Systems
  • 印刷版ISSN:1112-5209
  • 出版年度:2017
  • 卷号:13
  • 期号:2
  • 页码:285-294
  • 出版社:ESRGroups
  • 摘要:This paper discuss virtual power plant (VPP) and Microgrid controller for energy management system (EMS) based on optimization techniques by using two optimization techniques namely Backtracking search algorithm (BSA) and particle swarm optimization algorithm (PSO). The research proposes use of multi Microgrid in the distribution networks to aggregate the power form distribution generation and form it into single Microgrid and let these Microgrid deal directly with the central organizer called virtual power plant. VPP duties are price forecast, demand forecast, weather forecast, production forecast, shedding loads, make intelligent decision and for aggregate & optimizes the data. This huge system has been tested and simulated by using Matlab simulink. These paper shows optimizations of two methods were really significant in the results. But BSA is better than PSO to search for better parameters which could make more power saving as in the results and the discussion.
  • 关键词:Virtual Power Plant; Microgrid; Energy Management System; Backtracking search; algorithm; particle swarm optimization algorithm.
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