水力发电2009，Vol.35Issue(6)：55-57,3.
SAPSO算法在梯级水电站日优化调度中的应用
Application of Self-adaptive Particle Swarm Optimization Technique to Short-term Optimal Operation of Cascade Hydropower Station
摘要
Abstract
In order to solve "curse of dimensionality" of traditional dynamic programming applied to optimization operation of hydropower station,a stochastic global optimization algorithm ,Particle Swarm Optimization (PSO) algorithm,and its ap-ply to short-term optimization operation of hydropower station are proposed in this paper. Compared with the dynamic pro-gramming,this method is simple , easy to be programmed,and finds the global optimum quickly. Therefore, an efficient method is provided for short-term optimization operation of hydropower station by separate price on separate time.关键词
日优化调度/最优解/SAPSO/水电站Key words
short-term optimization operation/optimal solution/SAPSO/hydropower station分类
信息技术与安全科学引用本文复制引用
董新亮,马光文,陈尧,张秋菊..SAPSO算法在梯级水电站日优化调度中的应用[J].水力发电,2009,35(6):55-57,3.基金项目
国家科技支撑计划(2008BAB29B09):国家自然科学基金重点资助项目(50539140):国家自然科学基金资助项目(50679098) （2008BAB29B09）
美国能源基金会"中国可持续能源"项目(G-0610-08581) （G-0610-08581）
