AN IMPROVED PARTICLE SWARM OPTIMIZATION METHOD BASED ON BORDERLINE SEARCH STRATEGY FOR TRANSMISSION NETWORK EXPANSION PLANNING

摘要：

To solve the problem of network expansion, an improved particle swarm optimization algorithm (PSO) is proposed in this paper. This method initialized the particle swarm according to borderline search mind, made the initialized particle near the safety line, overcome the defect of the uncertainty in the rational distribution of Particle initialization, optimizing the range of the initialization.Numerical simulation results of power transmission network planning demonstrate the feasibility and efficiency of this method, and shed new light on the further improving of PSO.

关键词： Transmission network expansion planning Particle swarm optimization algorithm Borderline search strategy

作者: DONG-XIAO NIU YUN-PENG LING QI ZHAO QING-YING ZHAO

作者单位: School of Business and Administration, North China Electric Power University, Baoding 071002, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 2846-2850

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）