Optimal Design of Passive Power Filters Based on Pseudo-parallel Genetic Algorithm

[摘要] The economic costs together with filter efficiency are taken as targets to optimize the parameter of passive filter. Furthermore, the method of combining pseudo-parallel genetic algorithm with adaptive genetic algorithm is adopted in this paper. In the early stages pseudo-parallel genetic algorithm is introduced to increase the population diversity, and adaptive genetic algorithm is used in the late stages to reduce the workload. At the same time, the migration rate of pseudo-parallel genetic algorithm is improved to change with population diversity adaptively. Simulation results show that the filter designed by the proposed method has better filtering effect with lower economic cost, and can be used in engineering.

[发布机构] State Grid of China Technology College, 500 Erhuan Nan Road, Jinan, Shandong, China^1

[效力级别] 电工学

[关键词] Adaptive genetic algorithms;Economic costs;Filter efficiency;Filtering effects;Migration rates;Passive power filters;Population diversity;Pseudo parallels