A Heuristic Particle Swarm Optimization Method and Its Application in Power Network Planning

摘要：

A heuristic particle swarm optimization(HPSO)is constructed based on the particle swarm optimization with passive congregation(PSOPC)and a harmony search(HS)scheme.According to the characters of power network planning,the HPSO algorithm handles the variable constraints using a “fly-back mechanism method,and then a HS scheme deals with the planning-problem constraints,therefore the particles can be kept in feasible field during the whole iteration procedure.Passive congregation is introduced in HPSO to improve particle’s evolutionism and its free search ability.The correctness of the proposed method is verified by the example of the 18-bus system,and the result shows that the HPSO algorithm relatively has good convergence in contrast to basic PSO and PSOPC.

关键词： power network planning particle swarm optimization harmony search fly-back mechanism constraint

作者: FU Yang XU Zi-li HU Rong CAO Jia-lin,

作者单位: Shanghai University of Electric Power

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）