Abstract
Firstly, an adaptive genetic algorithm (AGA) is proposed. For traditional genetic algorithm, it easily premature and falls into local optima. A better initial population should have differences among the individuals and distributes uniformly in the whole solution space. In AGA of this paper, initial population is selected according to the Hamming distances to solve this question. Adaptive crossing and mutation probability method also is presented to optimize the population and find the global solution. Secondly, a multi-aim optimal designing method which is based on AGA is applied in the cooperation control of power system stabilizer (PSS) and static compensator (STATCOM). Simulation results show that, used the solution presented in the paper, the stability of power angle and voltage can be effectively enhanced.
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