Research on Reactive Power Optimization based on Adaptive Genetic Simulated Annealing Algorithm

This paper proposes the integration of simulated annealing into an adaptive genetic algorithm in order to solve reactive power optimization problems. The idea of using a genetic algorithm as global search strategy while simulated annealing is used local improvements, helps to improve the optimization if done appropriately. The decimal encoding and decoding are used. The flow chart of proposed algorithm is presented and the parameter of the proposed hybrid algorithm is illustrated. The steps of algorithm procedure are designed. Two systems of IEEE 14-bus and IEEE 30-bus are tested. The results show that the proposed algorithm in the paper is more feasible and effective.