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SAPSO算法在梯级水电站日优化调度中的应用
引用本文: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).
作者姓名:董新亮  马光文  陈尧  张秋菊
作者单位:四川大学能源发展研究中心,四川,成都,610065
基金项目:国家科技支撑计划,国家自然科学基金重点项目,国家自然科学基金,美国能源基金会资助项目 
摘    要:针对传统的动态规划方法求解水库优化调度阋题存在的"维数灾"问题,提出一种全局随机优化算法1]--SAPSO算法及其在水库日优化调度问题中的应用.相对于动态规划,该算法原理简单,易编程实现,占用计算机内存少,能以较快的速度收敛到全局最优解,从而为分时电价环境下的水电站日优化调度问题提供了一种有效的解决办法.

关 键 词:日优化调度  最优解  水电站

Application of Self-adaptive Particle Swarm Optimization Technique to Short-term Optimal Operation of Cascade Hydropower Station
Dong Xinliang,Ma Guangwen,Chen Yao,Zhang Qiuju.Application of Self-adaptive Particle Swarm Optimization Technique to Short-term Optimal Operation of Cascade Hydropower Station[J].Water Power,2009,35(6).
Authors:Dong Xinliang  Ma Guangwen  Chen Yao  Zhang Qiuju
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.
Keywords:SAPSO  short-term optimization operation  optimal solution  SAPSO  hydropower station
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