Parallel Particle Swarm Optimization Algorithm and Its Application in the Optimal Operation of Cascade Reservoirs in Yalong River

摘要：

According to the characteristics of optimal operation of cascade hydropower stations, an improved method is presented to solve the multi-stage optimum mathematics model, namely the coarse grain parallel particle swarm optimization (PPSO)algorithm.In order to test its performance,two algorithms are applied to optimal operation of cascade reservoirs in Yaiong River,including particle swarm optimization (PSO).The comparison indicated that the results obtained by the PPSO have faster calculation speed and higher accuracy of solution than PSO,moreover,the PPSO can better improve the convergence ability of PSO.

关键词： particle swarm optimization parallel computing optimization operation cascade reservoirs

作者: CHEN Lihua MEI Yadong YANG Na

作者单位: College of Civil and Architectural Engineering Cruangxi University Nanning, China State Key Laboratory of Water Resource and Hydropower Engineering Science Wuhan University

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 279-282

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）