电力系统保护与控制Issue(14)：93-99,7.
基于群搜索算法的电力系统无功优化
Reactive power optimization based on group search optimizer
摘要
Abstract
In order to increase the operating efficiency and economic performance, this paper uses the group search optimizer to optimize the control variable of power systems so as to decrease the reactive loss. Group search optimizer is a new kind of swarm intelligence optimization algorithm, which divides group members into three types: producer, scrounger and ranger. The location of rangers is random, which can avoid entrapment in local minima effectively. The input of reactive power and the voltage transformer ratios, and the terminal voltage of generator are designated as control variables, after the iterative computations and power flow calculation by using the swarm search optimization algorithm, the minimum of the reactive loss and the corresponding control variable can be figured out. At last, the IEEE14-bus system and IEEE30-bus system are simulated with Matlab7.6 and contrasted with the others optimizers, the results show that the convergence rate of the group search optimizer is fast and stable, and superior in reactive power optimization. This work is supported by National Natural Science Foundation of China (No. 61175044).关键词
群搜索优化算法/电力系统无功优化/潮流计算/Matlab/IEEE节点系统Key words
group search optimizer/reactive power optimization/power flow calculation/Matlab/IEEE bus system分类
信息技术与安全科学引用本文复制引用
刘华臣,王锡淮,肖健梅,王海锋..基于群搜索算法的电力系统无功优化[J].电力系统保护与控制,2014,(14):93-99,7.基金项目
国家自然科学基金项目(61175044)；上海市教委科研创新重点项目(12ZZ158)；上海海事大学校基金项目(20130054) （61175044）
