A new improved catastrophic genetic algorithm (ICGA) is proposed. According to the defects of insufficient local searching ability and unsatisfactory convergence of conventional catastrophic operator, a concept of optimal individual catastrophic region in current evolution is proposed, so the catastrophic region is decreased than that in conventional catastrophe principle and the pertinence to the catastrophe is improved. In addition, to improve the convergence of genetic algorithm, the computing formula of crossover probability related to evolutional generations and the computing formula of mutation probability related to individual fitness are designed. Calculation results of IEEE 30-bus system show that the proposed algorithm possesses satisfied global performance, high convergence speed and stable convergence performance, so it is suitable to solve the optimal reactive power planning.
genetic algorithmscatastropheoptimal reactive power planning
国家科技期刊平台
NSTL
万方数据
维普
