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  • 标题:Fuzzy based Stochastic Algorithms for Multi-Objective Reactive Power Optimization including FACTS Devices
  • 本地全文:下载
  • 作者:D. Silas Stephen ; P. Somasundaram
  • 期刊名称:International Journal on Electrical Engineering and Informatics
  • 印刷版ISSN:2085-6830
  • 出版年度:2012
  • 卷号:4
  • 期号:2
  • 出版社:School of Electrical Engineering and Informatics
  • 摘要:Fuzzy based stochastic algorithms for solving Multi-objective Reactive Power Optimization (MORPO) problem including FACTS devices is presented in this paper. The Multi-Objective Reactive Power Optimization problem is formulated as a nonlinear constrained multi-objective optimization problem where the active power, voltage deviation and investment cost has to be minimized simultaneously. Fuzzy logic strategy incorporated with Evolutionary Programming (EP), Tabu search (TS) algorithms and Particle Swarm Optimization (PSO) has been proposed to handle the problem as a true multi-objective problem. The proposed algorithm has been used to solve the MORP problem with and without FACTS devices namely STATCOM, TCSC and UPFC.IEEE 30-bus system is used as a test system. The simulation results are promising and show the effectiveness and robustness of the proposed approach.
  • 关键词:Multi-objective Reactive Power Optimization; Evolutionary Programming;Tabu Search; Particle Swarm Optimization; Fuzzy Logic; FACTS
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