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《Proceedings of the Csee》 2005-23
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LOCAL BEST EMBRANCHMENT BASED CONVERGENCE GUARANTEE PARTICLE SWARM OPTIMIZATION AND ITS USE IN TRANSMISSION NETWORK PLANNING

JIN Yi-xiong1,CHENG Hao-zhong1,YAN Jian-yong2,ZHANG Li2(1.Dept.Electrical Engineering,Shanghai Jiaotong University,Xuhui District,Shanghai 200030,China;2.Shanghai Urban Power Supply Company,Hongkou District,Shanghai 200080,China)  
Summarized some improved methods of Particle Swarm Optimization(PSO),analyzed its critical reasons of convergence dilemma,then put forward local best embranchment optimization method,which consists of five elements:determination of local optimum;lock of local optimum area;embranchment search in local optimum area;particles recruitment in main search process and termination criterion.And a local depth optimization method based on retrogress mode of constructive heuristic algorithm according to the characters of transmission network expansion planning is also put forward.Numerical simulation results demonstrate these two methods overcome the convergence dilemma,improved the search efficient and ensured its local and global search ability simultaneously.They also provide new ideas for other optimization methods.
【Fund】: 国家自然科学基金项目(50177017);; 上海市重点科技攻关计划项目(041612012);; 国家电网公司课题项目SGZL[2004]151~~
【CateGory Index】: TM715
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