电力系统保护与控制2011，Vol.39Issue(21)：115-119,125,6.
模拟渔夫捕鱼寻优算法在多目标无功优化中的应用
Application of optimization algorithm on simulating the fisher fishing in multi-objective optimal reactive power
摘要
Abstract
Optimization algorithm on simulating the fisher fishing (SFOA) is a novel optimization algorithm, which is presented based on simulating the behavior and habit of fisher's fishing. By studying the algorithm, it is used for solving the power system multi-objective reactive power optimization (ORP) problem. The model of ORP includes line loss and average voltage offset as optimal target, and the method that can transform target function to constraint based on user reference region is proposed. ORP is an optimization problem with multi-variable, and optimization speed of SFOA would be restricted. So the method of random initialization in the cube is adopted, which simplifies the moving search and shrinking search in the cube and improve searching speed. The simulation results for IEEE-30 nodes and IEEE-57 nodes system show that SFOA has global search performance and steady convergence rates, which can improve the economics and safety of power system effectively.关键词
模拟渔夫捕鱼的寻优算法/移动搜索/收缩搜索/多目标/无功优化Key words
simulating fisher's fishing optimization algorithm/moving search/shrinking search/multi-objective/optimal reactive power分类
信息技术与安全科学引用本文复制引用
王汝田,杨龑亮,王彬,曾淑珍..模拟渔夫捕鱼寻优算法在多目标无功优化中的应用[J].电力系统保护与控制,2011,39(21):115-119,125,6.基金项目
东北电力大学博士基金资助(BSJXM-201011) （BSJXM-201011）
