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  • 标题:Fuzzified PSO Algorithm for DC-OPF of Interconnected Power System
  • 本地全文:下载
  • 作者:N.m Jothi Swaroopan. ; P. Somasundaram
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2010
  • 卷号:17
  • 期号:01
  • 出版社:Journal of Theoretical and Applied
  • 摘要:

    This paper present a new computationally efficient improved stochastic algorithm for solving multi-area DC Optimal Power Flow (DC-OPF) in interconnected power systems. This algorithm is based on the combined application of Fuzzy Logic strategy incorporated in Particle Swarm Optimization (PSO) algorithm, hence termed as Fuzzy PSO (FPSO). Multi-area DC-OPF calculations determine optimum generation schedule, optimal control variables and system quantities of each area with due consideration of generation and transmission system limitations for efficient power system operation. The proposed method is tested on IEEE 30-bus interconnected three area system. The investigation reveals that the proposed method can provide accurate solution with fast convergence and has the potential to be applied to other power engineering problems.

  • 关键词:DC-Optimal Power Flow; Fuzzy Logic; Particle Swarm Optimization
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