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周骏萍, 金涛, 肖旭. 基于自适应遗传算法的无源滤波器优化设计研究[J]. 铁路计算机应用, 2015, 24(10): 10-13.
引用本文: 周骏萍, 金涛, 肖旭. 基于自适应遗传算法的无源滤波器优化设计研究[J]. 铁路计算机应用, 2015, 24(10): 10-13.
ZHOU Junping, JIN Tao, XIAO Xu. Optimal design of passive power filter based on Self-adaptive Genetic Algorithm[J]. Railway Computer Application, 2015, 24(10): 10-13.
Citation: ZHOU Junping, JIN Tao, XIAO Xu. Optimal design of passive power filter based on Self-adaptive Genetic Algorithm[J]. Railway Computer Application, 2015, 24(10): 10-13.

基于自适应遗传算法的无源滤波器优化设计研究

Optimal design of passive power filter based on Self-adaptive Genetic Algorithm

  • 摘要: 本文介绍一种基于自适应遗传算法的无源滤波器设计方法。在满足无功补偿需要、滤波后电网公共连接点处电流和电压谐波含量符合国家标准,并且无源滤波器组不与电网发生串并联谐振要求下,实现无源滤波器组初期投资的费用有效降低。仿真结果表明,各项指标均能满足性能要求。该设计方法在工程实际应用中具有较好实用价值。

     

    Abstract: In order to improve the cost performance ratio of the passive power filter bank, this paper designed a kind of passive power filter based on Self-adaptive Genetic Algorithm. This design implemented lower initial investment while taking the reactive power compensation, voltage and current harmonics at PCC (the point of common coupling), series and parallel resonance into consideration. The simulation result showed that all indexes could meet performance requirement. Thus, this design had good practical value in engineering application.

     

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