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免疫算法及其在电力系统无功优化中的应用
引用本文:夏利霞,唐剑东. 免疫算法及其在电力系统无功优化中的应用[J]. 湖南工程学院学报(自然科学版), 2007, 17(3): 9-13
作者姓名:夏利霞  唐剑东
作者单位:湖南工程学院,电气与信息工程系,湖南,湘潭,411101;湖南省电力公司,超高压管理局,湖南,长沙,410015
摘    要:提出应用一种新的智能优化算法——免疫算法(IA)来求解无功优化问题.该算法模拟了免疫系统的基本原理,具有抗原模式识别及记忆功能,抗体多样性,抗体自适应调节等优点.在分析无功优化的数学模型和免疫算法的特点的基础上,详细研究了用免疫算法求解无功优化问题的实现方法.对IEEE30节点系统进行了仿真计算,并将优化结果与遗传算法(GA)作了比较,结果表明免疫算法(IA)能有效的应用于电力系统无功优化,并有着更好的全局寻优能力及更快的收敛速度.

关 键 词:电力系统  无功优化  免疫算法  亲和力
文章编号:1671-119X(2007)03-0009-05
修稿时间:2007-03-15

Immune Algorithm and Its Application in Reactive Power Optimization of Power System
XIA Li-xia,TANG Jian-dong. Immune Algorithm and Its Application in Reactive Power Optimization of Power System[J]. Journal of Hunan Institute of Engineering(Natural Science Edition), 2007, 17(3): 9-13
Authors:XIA Li-xia  TANG Jian-dong
Abstract:In this paper,a new method of employing the immune algorithm to solve reactive power optimization problems is proposed.Immune algorithm(IA) simulates the principles of immune systems.The merits of IA lie in pattern recognition and memorization,the self-adjustment and the diversity of antibody.Based on analysis of mathematical model of reactive power optimization and characteristics of immune algorithm,the implementation method of immune algorithm is studied in detail.Compared with genetic algorithm(GA),optimization results of IEEE30 bus system show that IA is a successful and feasible approach for reactive power optimization and the global convergence and convergence velocity are better.
Keywords:power system  reactive power optimization  immune algorithm  appetency
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