Design of Fuzzy Logic Controller for Power System Stabilizer Using Adaptive Evolutionary Computation

적응진화연산을 이용한 전력계통안정화장치의 퍼지제어기의 설계

  • Hwang, G.H. (Dept. of Elec. Eng. Pusan Nat'1 Univ.) ;
  • Mun, K.J. (Dept. of Elec. Eng. Pusan Nat'1 Univ.) ;
  • Kim, H.S. (Dept. of Elec. Eng. Pusan Nat'1 Univ.) ;
  • Park, J.H. (Dept. of Elec. Eng. Pusan Nat'1 Univ.) ;
  • Lee, H.S. (Dept. of Elec. Eng. Koje College) ;
  • Kim, M.S. (Dept of Elec. Eng. Dongeui College)
  • Published : 1998.07.20

Abstract

In this study, an adaptive evolutionary computation (AEC), which uses adaptively a genetic algorithm having global searching capability and an evolution strategy having local searching capability with different methodologies, is suggested. We applied the AEC to design of fuzzy logic controllers for a PSS (power system stabilizer). FLCs for PSS controllers are designed for damping the low frequency oscillations caused by disturbances such as tile sudden changes of loads, outages in generators, transmission line faults, etc. The membership functions of FLCs is optimally determined by AEC.

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