Optimal Tuning of Fuzzy Logic Power System Stabilizer Using Harmony Search Algorithm

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• 作者：D. K. Sambariya ; Rajendra Prasad
• 关键词：Fuzzy power system stabilizer ; Harmony search algorithm optimized fuzzy power system stabilizer ; Particle swarm optimization (PSO) tuned input鈥搊utput FPSS ; SMIB power system ; Two ; area ten ; machine power system
• 刊名：International Journal of Fuzzy Systems
• 出版年：2015
• 出版时间：September 2015
• 年：2015
• 卷：17
• 期：3
• 页码：457-470
• 全文大小：
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• 作者单位：D. K. Sambariya (1)
  Rajendra Prasad (1)
  
  1. Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, 247 667, India
  
• 刊物类别：Computational Intelligence; Artificial Intelligence (incl. Robotics); Operations Research, Managemen
• 刊物主题：Computational Intelligence; Artificial Intelligence (incl. Robotics); Operations Research, Management Science;
• 出版者：Springer Berlin Heidelberg
• ISSN：2199-3211

文摘

In this paper, the design of fuzzy logic power system stabilizer (FPSS) is carried out using a harmony search algorithm (HSA) to optimize the input鈥搊utput scaling factors of the fuzzy logic controller. The optimization problem is considered minimization of integral square error as an objective function with single-machine and multimachine power system. The performance of the HSA optimized FPSS with both systems is compared that of with robust FPSS; HSA tuned input scaling factors of FPSS, and particle swarm optimization tuned input鈥搊utput FPSS for a wide range of operating conditions. The speed response performance for both systems is compared in terms of performance indices, and superiority of the proposed HSFPSS is validated. Keywords Fuzzy power system stabilizer Harmony search algorithm optimized fuzzy power system stabilizer Particle swarm optimization (PSO) tuned input鈥搊utput FPSS SMIB power system Two-area ten-machine power system