Optimal Planning of Substation Locating Based on GIS and Refined Multi-team PSO Algorithm

摘要：

A new intelligent algorithm,improved particle swarm optimization algorithm,is presented to handle optimal substation locating problem. Simulated annealing and mutation operator will be considered to introduce in this PSO algorithm,so it guarantee the multiplicity of colony in the computational initial period and enhance the optimization decimal of the algorithm in the later period. The paper firstly introduces the geographic information as Metadata factor into the model. Through an analysis of the examples,the paper finally provides a reference to the distribution network planning and construction.

关键词： substation locating Geographic information system (GIS) particle swarm optimization

作者: GAO Qing-min ZHANG Qian-ye

作者单位: North China University of Water Conservancy and Hydroelectric Power,Zhengzhou,450011,China

会议类型: 国际会议

会议名称: 2010年中国国际供电会议(CICED 2010)

会议地点: 南京

会议语种:英文

页码: 369-375

在线出版日期: 2010-09-13（万方平台首次上网日期，不代表论文的发表时间）