粒子群算法在水电站日优化调度中的应用  

Application of Particle Swarm Optimization Technique to Short-term Optimal Operation of Hydropower Station

作　　者：杨道辉[1] 马光文[1] 严秉忠[1] 左幸[1] 

机构地区：[1]四川大学能源发展研究中心,四川成都610065

出　　处：《水力发电》2006年第3期73-75,共3页Water Power

基　　金：国家自然科学基金重点资助项目(50539140)

摘　　要：针对传统的动态规划方法求解水库优化调度问题存在的“维数灾”问题,给出一种全局随机优化算法[1]——粒子群优化算法并应用于水库日优化调度问题中。相对于动态规划,该算法原理简单,易编程,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。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 apply to short-term optimization operation of hydropower station are proposed in this paper. Compared with the dynamic programming, 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 粒子群优化算法 最优解 水电站 

分 类 号：O224[理学—运筹学与控制论] TV697.11[理学—数学]