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  • 标题:Optimal Allocation and Sizing of Distributed Generation for Power Loss Reduction using Modified PSO for Radial Distribution Systems
  • 本地全文:下载
  • 作者:Haruna Musa ; Sanusi Sani Adamu
  • 期刊名称:Journal of Energy Technologies and Policy
  • 印刷版ISSN:2225-0573
  • 电子版ISSN:2225-0573
  • 出版年度:2013
  • 卷号:3
  • 期号:3
  • 页码:1-8
  • 语种:English
  • 出版社:Journal of Energy Technologies and Policy
  • 摘要:For the purpose of improving the voltage profile and power losses reduction, this paper proposes allocation and sizing of Distributed Generation (DG) in radial distribution system (69 IEEE bus test system.). A simple and effective approach for power loss reduction (PLR) value is employed for the allocation while the sizing was by using the results from the allocation as local optimum in a modified PSO called Ranked Evolutionary particle swarm optimization (REPSO) in order to obtain the global optimum. Load simulations in power flow yielded improvement not only in power loss reduction but also in voltage profile. The proposed algorithm was found to be faster and gives more accurate results than the EP and PSO algorithms.
  • 关键词:Distributed Generation; Evolutionary programming;; Particle Swarm Optimization; Allocation and sizing; Power loss reduction.
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