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基于自适应遗传算法的风力发电系统网侧LCL滤波器的优化设计

邵文权 宋江喜 程远 张毅 王龙

电力系统保护与控制Issue(21):116-121,6.
电力系统保护与控制Issue(21):116-121,6.

基于自适应遗传算法的风力发电系统网侧LCL滤波器的优化设计

An optimized design for wind-power generation system grid-side LCL filter based on adaptive genetic algorithm

邵文权 1宋江喜 1程远 1张毅 1王龙1

作者信息

  • 1. 西安工程大学电子信息学院,陕西 西安 710048
  • 折叠

摘要

Abstract

In high-power wind generation system, grid-side LCL filter is usually applied to suppress high frequency harmonics generated by the converter. But present methods for parameters design of LCL filter have complex computation, low accuracy and poor performance. This paper proposes an optimized design method based on adaptive genetic algorithm for LCL filter. It uses adaptive crossover and mutation probability to increase the evolutionary efficiency and decrease computation time. In addition, the design constraints and filter performance are considered comprehensively. At last, the PSCAD/EMTDC simulation results indicate that the optimized filter has favorable ability of harmonic suppression, and it is significant for practical application.

关键词

风力发电/LCL滤波器/自适应遗传算法/PSCAD/EMTDC

Key words

wind-power/LCL filter/adaptive genetic algorithm/PSCAD/EMTDC

分类

信息技术与安全科学

引用本文复制引用

邵文权,宋江喜,程远,张毅,王龙..基于自适应遗传算法的风力发电系统网侧LCL滤波器的优化设计[J].电力系统保护与控制,2013,(21):116-121,6.

基金项目

西安工程大学博士启动基金(BS1018) LCL滤波器的主要参数的设计较复杂。文献[7]最早This work is supported by Foundation of Xi’an Polytechnic University (No. BS1018) (BS1018)

电力系统保护与控制

OA北大核心CSCDCSTPCD

1674-3415

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