유전 알고리즘을 이용한 퍼지형 안전화 제어기의 최적 설계에 관한 연구

A Study on the Optimal Design Fuzzy Type Stabilizing Controller using Genetic Algorithm

  • 이흥재 (원광대 공대 전기공학과) ;
  • 임찬호 (경주대 컴퓨터전자공학부) ;
  • 윤병규 ((주) 부국전기공업 기술부 근무) ;
  • 임화영 (원광대 공대 전기공학과) ;
  • 송자윤 (인천전문대 제어계측공학과)
  • 발행 : 1999.11.01

초록

This paper presents an optimal fuzzy power system stabilizer to damp out low frequency oscillation. So far fuzzy controllers have been applied to power system stabilizing controllers due to its excellent properties on the nonlinear systems. But the design process of fuzzy logic power system stabilizer requires empirical and heuristic knowledge of human experts as well as many trial-and-errors in general. This paper presents and optimal design method of the fuzzy logic stabilizer using the genetic algorithm. Non-symmetric membership functions are optimally tuned over an evaluation function. The present inputs of fuzzy stabilizer are torque angle error and the change of torque angle error without loss of generality. The coding method used in this paper is concatenated binary mapping. Each linguistic fuzzy variable, defined as the peak of a membership function, is assigned by the mapping from a minimum value to a maximum value using eight bits. The tournament selection and the elitism are used to keep the worthy individuals in the next generation. The proposed system is applied to the one-machine infinite-bus model of a power system, and the results showed a promising possibility.

키워드

참고문헌

  1. IEEE Trans. on PAS v.PAS-94 no.5 Power Stabilizer Design using Root-Locus Methods K. Bollinger(et al.)
  2. IFAC Optimal Selection of the parameters of power system stabilizers H. J. Lee;T. W. Kwon
  3. Electric Power System Dynamics Yao-Nan Yu
  4. IEEE Trans. on PAS v.7 no.3 An Adaptive Synchronous Generator Stabilizer Design by Generalized Multivariable Pole Shfting(GMPS) Technique A. A. Ghandakly(et al.)
  5. IEEE Trans. on PD v.5 no.1 Power System Stability Improvement with Multivariable Self-Tuning Control J. Y. Fan(et al.)
  6. KIEE v.42 no.11 A Study on the Nonlinear Characteristics of the Fuzzy Type Stabilizing Controller H. J. Lee;Y. M. Park;C. H Lim
  7. IEEE Trans. on Power Systems v.11 no.4 A Synchronous Generator Stabilizer Design Using Neuro Inverse Controller and Error Reduction Network Y. M. Park;S. H. Yyun;J. H.Lee
  8. Genetic Algorithm David E. Goldberg
  9. Genetic Algorithms + Data Structures = Evolution Programs Zbigniew Michalewicz