Population diversity based genetic algorithm for fuzzy control of synchronous generators
Jianfeng Wen, Qing Hua Wu, D.W. Shimmin, D.R. Turner, S.J. Cheng · 2003
This paper proposes a method to design an optimal fuzzy controller for excitation control of synchronous generators. The design is based on optimizing a number of parameters involved in the fuzzy and defuzzification process directly. A population diversity based genetic algorithm is derived to solve this multi-parameter optimization problem. The new method has been used to design an optimal fuzzy excitation controller for synchronous generator, satisfactory results are obtained.