电工技术学报2012，Vol.27Issue(4)：209-215,7.
基于改进均值聚类随机粒子群算法的变电站LCC规划
Substation LCC Planning Based on Refined Mean Clustering Random Particle Swarm Algorithm
摘要
Abstract
Based on the life cycle cost（LCC） of equipment to establish the new model of substation locating and sizing.The substation plan initial investment,operation cost and maintenance cost,fault cost and diposal cost are considered in the model.So the planning model achieves not only economic optimum,but also reliability and efficiency level.The improved algorithm that combined mean clustering algorithm with random particle swarm algorithm is presented and avoids premature phenomena.The model and the improved algorithm are tested by a realistic planning project to verify the effectiveness and feasibility,and have high practical value.关键词
全寿命周期成本/随机粒子群算法/均值聚类分析/变电站选址定容/配电网络规划Key words
Life cycle cost/random particle swarm algorithm/mean clustering analysis/substation locating and sizing/distribution network planning分类
信息技术与安全科学引用本文复制引用
苏海锋,张建华,梁志瑞,张硕,牛胜锁..基于改进均值聚类随机粒子群算法的变电站LCC规划[J].电工技术学报,2012,27(4):209-215,7.基金项目
国家自然科学基金 （）
国家863高技术基金（2008AA05Z216）资助项目 （）
