电力系统保护与控制2009，Vol.37Issue(14)：10-15,6.
多智能体搜寻者优化算法在电力系统无功优化中的应用
Reactive power optimization in power system based on multi-agent seeker optimization algorithm
摘要
Abstract
A multi-agent seeker optimization algorithm (MASOA) is proposed for optimal reactive power dispatch and voltage control of power system that is a typical non-linear problem. According to the more arbitrary partition of neighborhood region for SOA, the algorithm has combined with agent technology and has increased the accuracy of particles optimization with improving the rationality of partition of neighborhood region for SOA. By adopting the evolutional mechanism of SOA to import adaptive method, it has been manifested that the novel algorithm has possessed good nonlinear search capability and has better effective for the optimization problem of reactive power. MASOA applied for optimal reactive power is evaluated on an IEEE 30-bus power system. The modeling of reactive power optimization is established taking the minimum network losses as the objective. It is shown that the proposed approach converges to better solutions much faster than the earlier four reported approaches and the algorithm can make effectively use in reactive power optimization.关键词
电力系统/无功优化/搜寻者算法/多智能体系统/自适应Key words
power system/reactive power optimization/seeker optimization algorithm/multi-agent system/adaptability分类
信息技术与安全科学引用本文复制引用
段涛,陈维荣,戴朝华,徐挺,张舟..多智能体搜寻者优化算法在电力系统无功优化中的应用[J].电力系统保护与控制,2009,37(14):10-15,6.基金项目
西南交通大学博士生创新基金(2007-3) （2007-3）
