水力发电学报2011，Vol.30Issue(4)：36-41,55,7.
流域梯级水电站群优化调度的多向导粒子群算法
Multi-guide particle swarm optimizer for optimal operation of cascaded hydropower plants
摘要
Abstract
This paper develops an optimal operation model by the criterion of maximizing the cascaded hydropower plants＇ total benefit that becomes a pursuit of the hydropower companies in the deregulated power market,and presents a multi-guide particle swarm optimizer for realization of the optimization.To improve the PSO convergence that is much poorer at the late stage of iteration,we introduce a multi-guide set into the group best selection,and propose a comprehensive learning policy for the personal best selection of each particle.This new approach is verified with an application to a real cascaded power system on a river in southwest China,and the results show its great competitiveness against the existing methods.关键词
水电工程/优化调度/梯级水电站群/粒子群优化算法/多向导Key words
hydropower engineering/optimal operation/cascaded hydropower plants/particle swarm optimization/multi-guide分类
建筑与水利引用本文复制引用
张景瑞,向泽江,龙健,陈阳,李武..流域梯级水电站群优化调度的多向导粒子群算法[J].水力发电学报,2011,30(4):36-41,55,7.基金项目
国家自然科学基金项目 （）
