journal6 ›› 2008, Vol. 29 ›› Issue (5): 68-71.

• 物理与电子 • 上一篇    下一篇

改进遗传算法在配电网无功优化的应用

  

  1. (1.柳州职业技术学院,广西 柳州 545005;2.湖南大学电气与信息工程学院,湖南 长沙 410082)
  • 出版日期:2008-09-25 发布日期:2012-05-20
  • 作者简介:杨艳玲(1973-),女,广西荔浦人,柳州职业技术学院讲师,湖南大学电气与信息工程学院硕士生,主要从事配电及CAD技术研究.

Application of Improved Genetic Algorithms in the Distribution Network  Reactive Power Optimization

  1. (1.Vocation Technical Institute College of Liuzhou,Liuzhou 545005,Guangxi China;2.College of Electrical and Information Engineering,Hunan University,Changsha 410082,China)
  • Online:2008-09-25 Published:2012-05-20

摘要:提出了考虑配电网运行费用和节电效益的综合目标函数,对于目标函数中的电压越界点和无功补偿容量越界点采用惩罚函数予以解决.无功优化主要采用调整变压器分接头和并联电容器2种方法,笔者采用改进遗传算法实现了配电网无功优化计算,该算法有较好的计算效率和全局寻优能力.通过实例验证了该方法的实用性和有效性.

关键词: 配电网, 无功优化, 遗传算法

Abstract: This paper presents and comprehensive objective function considering network energy loss,node voltage level and investment reactive compensation equipment.Penalty function is considered to deal with variables violating the constraints.Its principal means is to regulate transformer rate and to parallel with capacitors.This paper implements reactive power optimization calculation based on above mathematical model by genetic algorithm,which has good algorithm efficiency and ability of global optimization.The method proposed in this paper is proved to be applicable and effective.

Key words: distribution network, reactive power optimization, genetic algorithm

公众号 电子书橱 超星期刊 手机浏览 在线QQ