Application of improved genetic algorithm in optimal filter allocation

被引：0
|
作者：
Song, Weilang [1 ]
Cai, Jinding [1 ]
Sun, Yiqun [2 ]
Jiang, Xiubo [1 ]
机构：
[1] Department of Electrical Engineering, Fuzhou University, Fuzhou 350108, China
[2] Fujian Electric Power Company Limited, Fuzhou 350002, China
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2010年 / 30卷 / 06期
关键词：
Transfer functions - Electric power transmission networks - Bandpass filters - Active filters;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
An adaptive genetic algorithm with neural network function is presented and applied in the optimal allocation of power system filters to suppress the harmonic pollution of power grid. A simplified model of filter is established according to the actual situation. With the minimum filter investment as the objective function and the node harmonic voltage index as the restriction, the improved genetic algorithm is applied to optimize the location and quantity of filter installation and the parameters of filter installed. The calculation and simulation of an IEEE case prove the improved algorithm and model are correct and feasible.
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页码：83 / 86
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