대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

실수형 유전알고리즘을 이용한 전력계통 퍼지안정화장치의 설계

Design of Fuzzy Power System Stabilizer using Real-coding Genetic Algorithm

  • 이종규 (한국수력원자력(주) 원자력교육원) ;
  • 권순일 (한국수력원자력(주) 원자력교육원) ;
  • 김성신 (부산대학교 전기공학과) ;
  • 박준호 (부산대학교 전기공학과) ;
  • 황기현 (부산대학교 컴퓨터 및 정보통신연구소)
  • Lee, Jong-Kyu (Korea Hydro & Nuclear Power Co., Ltd.) ;
  • Kwon, Soon-Il (Korea Hydro & Nuclear Power Co., Ltd.) ;
  • Kim, Sung-Shin (Dept. of Electrical Eng., Pusan National University) ;
  • Park, June-Ho (Dept. of Electrical Eng., Pusan National University) ;
  • Hwang, Gi-Hyun (Research Institute of Computer, Information and Communication at Pusan National University)
  • 발행 : 2001.07.18
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초록

This paper describes the application of Fuzzy Power System Stabilizer(FPSS) for improving dynamic stability of power system. The Real-coding Genetic Algorithm(RGA) was applied to optimize gains of the inputs and outputs of the FPSS. The effectiveness of the proposed FPSS was demonstrated by simulation studies for single-machine infinite system. To show the superiority of the proposed FPSS, its performances were compared with those of Conventional Power System Stabilizer(CPSS) The proposed FPSS showed better control performances than the CPSS in three-phase ground fault under a normal load which was system condition in tuning FPSS. To show the robustness of the proposed FPSS, it was applied to damp the low frequency oscillations caused by disturbances such as three-phase ground fault under heavy and light load conditions. The proposed FPSS showed better performance than CPSS in terms of the settling time and damping effect for power system operation condition.

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