Fuzzy Logic Controller Based on Observed Signals and a Genetic Algorithm Application with STATCOM for Power System Stabilization (特集 電力・エネルギーシステム分野における英文論文)

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概要

• 論文の詳細を見る

• Fuzzy logic control has been applied to various applications in power systems. Its control rules and membership functions are typically obtained by trial and error methods or experience knowledge. Proposed here is the application of a micro-genetic algorithm (micro-GA) to simultaneously design optimal membership functions and control rules for STATCOM. First, we propose a simple approach to extract membership functions and fuzzy logic control rules based on observed signals. Then a proposed GA will be applied to optimize membership functions and its control rules. To validate the effectiveness of the proposed approach, several simulation studies have been performed on a multimachine power system. Simulation results show that the proposed fuzzy logic controller with STATCOM can effectively and robustly enhance the damping of oscillations.

• 社団法人 電気学会の論文
• 2003-05-01

著者

• MITANI Yasunori

  Graduate School of Engineering, Kyushu Institute of Technology

• Tsuji K

  Department Of Electrical Engineering Osaka University

• Tsuji Kiichiro

  Graduate School Of Engineering Osaka University

• HONGESOMBUT Komsan

  Graduate School of Engineering, Osaka University

• Hongesombut Komsan

  Graduate School Of Engineering Osaka University

• Mitani Y

  Department Of Electrical Engineering Kyushu Institute Of Technology Kyushu

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