张利生;马安;叶卫华;

• 1:内蒙古电力(集团)有限责任公司
• 2:晋城供电公司
• 3:中国电力科学研究院

摘要(Abstract)：

提出一种基于变尺度混沌理论与免疫遗传算法的混合智能无功优化算法。该算法利用混沌变量的遍历性、随机性和规律性特点,将混沌运动自身的遍历区域变换成优化变量的取值范围,通过对整个解空间进行考察实现了可行域内的全局优化搜索。同时通过变尺度方法不断缩小优化变量的搜索范围来实现局部细化搜索,从而增强混沌局部搜索能力,加快解的收敛速度,提高解的精度。文章最后以某地区实际电网为例,分别采用免疫遗传算法和混合智能算法对其进行无功优化计算,结果表明本文提出的混合智能算法在计算速度和全局收敛性方面有很大的提高。

关键词(KeyWords)： 免疫遗传算法;无功优化;混合智能算法;变尺度混沌优化算法

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 张利生;马安;叶卫华;

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DOI:

参考文献(References)：

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