期刊名称：International Journal of Mechatronics, Electrical and Computer Technology
印刷版ISSN：2305-0543
出版年度：2013
卷号：3
期号：9
页码：449-469
出版社：Austrian E-Journals of Universal Scientific Organization
摘要：Reactive Power Optimization is a complex combinatorial optimization problem involving non-linear function having multiple local minima, non-linear and discontinuous constrains. This paper presents Attractive and repulsive Particle Swarm Optimization (ARPSO) and Random Virus Algorithm (RVA) in trying to overcome the Problem of premature convergence. RVA and ARPSO is applied to Reactive Power Optimization problem and is evaluated on standard IEEE 30Bus System. The results show that RVA prevents premature convergence to high degree but still keeps a rapid convergence. It gives best solution when compared to Attractive and repulsive Particle Swarm Optimization (ARPSO) and Particle Swarm Optimization (PSO).
关键词：Attractive and repulsive; particle Swarm; random virus algorithm; Reactive ; Power Optimization.
