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.
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),opti...
出处
《湖南工程学院学报（自然科学版）》
2007年第3期9-13,共5页
Journal of Hunan Institute of Engineering(Natural Science Edition)
关键词
电力系统
无功优化
免疫算法
亲和力
power system
reactive power optimization
immune algorithm
appetency
