혼합형 유전 알고리즘을 이용한 퍼지 안정화 제어기의 계수동조 기법에 관한 연구

A Study on the Parameters Tuning Method of the Fuzzy Power System Stabilizer Using Genetic Algorithm and Simulated Annealing

  • Lee, Heung-Jae (Dept.of Electrical Engineering, Kwangwoon University) ;
  • Im, Chan-Ho (Dept.of Computer Electronics Engineering, Gyeongju University)
  • 발행 : 2000.12.01

초록

The fuzzy controllers have been applied to the power system stabilizer due to its excellent properties on the nonlinear systems. But the design process of fuzzy controller requires empirical and heuristic knowledge of human experts as well as many trial-and-errors in general. This process is time consuming task. This paper presents an parameters tuning method of the fuzzy power system stabilizer using the genetic algorithm and simulated annealing(SA). The proposed method searches the local minimum point using the simulated annealing algorithm. The proposed method is applied to the one-machine infinite-bus of a power system. Through the comparative simulation with conventional stabilizer and fuzzy stabilizer tuned by genetic algorithm under various operating conditions and system parameters, the robustness of fuzzy stabilizer tuned by proposed method with respect to the nonlinear power system is verified.

키워드

참고문헌

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