计算机应用研究Issue(5)：1345-1348,4.DOI:10.3969/j.issn.1001-3695.2015.05.016
基于 BF 行为的多目标分布估计算法优化配置 SFCL
Optimal allocation superconducting fault current limiters using multi-objective estimation of distribution algorithm based on bacterial foraging
摘要
Abstract
Optimal allocation superconducting fault current limiter (SFCL)in ring power system needed to balance the local optimum and the global optimum,researched to meet the requirements of convergence and diversity of optimal allocation SF-CL.First of all,this paper defined the branch sensitivity coefficient index and put forward the model of optimal allocation of SFCL based on the index.Then,it used a multi-objective distribution estimation algorithm based on bacterial foraging (ME-DA-BF)to optimization allocation SFCL and used the convergence and diversity index to evaluation the optimization perform-ance of the algorithm.At last,it conducted simulation on the IEEE-30 nodes system and compared the results with existing methods.Results show that the method is better than the existing methods.关键词
超导故障限流器/最优配置/多目标分布算法/收敛性和多样性/细菌觅食算法Key words
SFCL/optimal allocation/MEDA/convergence and diversification/BFA分类
信息技术与安全科学引用本文复制引用
郭登辉,肖先勇..基于 BF 行为的多目标分布估计算法优化配置 SFCL[J].计算机应用研究,2015,(5):1345-1348,4.基金项目
国家“863”计划资助项目 （）
