基于改进粒子群算法的ICPT配电系统规划  

ICPT substation location planning by using refined particle swarm optimization

作　　者：杨芳勋[1] 孙跃[1] 赵志斌[1] 戴欣[1] 

机构地区：[1]重庆大学自动化学院,重庆400030

出　　处：《华中科技大学学报（自然科学版）》2011年第1期118-122,共5页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(50777071);中央高校基本科研业务费专项奖金资助项目(CDJZS10170003);重庆市科委攻关项目(CSTC;2008AC3089)

摘　　要：针对城市电气化交通的供电解决方案提出一种新型的感应耦合电能接入模式.针对粒子群优化算法全局搜索的高效性与易'早熟'收敛之间的矛盾,提出一种基于非线性单纯体法的改进粒子群算法,保证了具有一定代表性的粒子在解空间的合理分布.该算法结构上增加的被动聚集项,使得粒子在寻优过程中不仅受到个体极值点和全局极值点的影响,还受被动聚集项的扰动.感应耦合电能传输配电系统规划问题的仿真结果表明,改进算法的年综合费用比粒子群优化算法少1.40%,改进算法既有效又稳定.A new refined particle swarm optimization（RPSO） algorithm based on nonlinear simplex method was proposed to solve the problem between efficiency search in global space and the premature of particle swarm optimization（PSO）.In order to ensure that quality particles were dispersed in solution space rationally.In RPSO,with the effect of passive congregation,particles were affected not only by local and global optima,but also by passive congregation behavior.A new power optimal planning math model based on the characteristics of inductive coupled power transfer（ICPT） was put forward.Finally,in the ICPT substation distribution planning case,the annual expenses of RPSO was less than the annual expenses of PSO.The availability and advantage of RPSO proved by the results.

关 键 词：配电系统 感应耦合电能传输 粒子群优化算法 非线性单纯体法 被动聚集因子 

分 类 号：TM74[电气工程—电力系统及自动化]