Design of Fuzzy Power System Stabilizers Using the Genetic Algorithm

• Main Authors: Chang Wen Cheng, 張文成
• Other Authors: Chang Hong Chan
• Format: Others
• Language: zh-TW
• Published: 1994
• Online Access: http://ndltd.ncl.edu.tw/handle/49176475894898231140

碩士 === 國立臺灣科技大學 === 電機工程研究所 === 82 === This thesis is to apply the genetic algorithm to the design of a fuzzy power system stabilizer (FPSS) to damp out systemder disturbance conditions. A fuzzy controller is a special type of based controller, and it operates in a linguistic, rule-based performance depends strongly on the control rules developed. designing a fuzzy controller always requires much trial-and- error determining the fuzzy rules, thus making the design atask. As such, the genetic algorithm is used to construct the optimal and to search for the optimal scaling factors of a fuzzy power stabilizer by the mechanism of reproduction, crossover, and Computer simulation results from two sample power systems show design procedure can reduce the trial-and- error effort forzzy control rules and significantly improve the dynamic response.