弹性粒子群优化算法及其在水电优化调度中的应用  

Application of resilient particle swarm optimization in optimal scheduling of hydropower projects

作　　者：陈烨兴[1] 罗云霞[2] 周慕逊[3] 

机构地区：[1]浙江大学建筑工程学院,浙江杭州310058 [2]浙江水利水电专科学校电气工程系,浙江杭州310018 [3]台州学院物理与电子工程学院,浙江台州317000

出　　处：《河海大学学报（自然科学版）》2010年第6期603-607,共5页Journal of Hohai University(Natural Sciences)

基　　金：浙江省自然科学基金(Y505360)

摘　　要：为有效避免粒子群优化算法后期收敛速度慢的问题,提高寻优能力,设计了一种以自适应方式更新粒子飞行速度的弹性粒子群优化算法,建立了水电优化调度数学模型,提出了弹性粒子群优化算法解决水电优化调度问题的实现方法,包括粒子编码设计、适应度函数设计以及弹性修正值设计,并编制了基于Matlab语言的优化程序.实例仿真结果表明:弹性粒子群优化算法是有效的;相比基本粒子群优化算法和自适应粒子群优化算法,弹性粒子群优化算法求解水电优化调度问题具有更强的全局寻优能力和更快的收敛速度.In order to avoid the slow convergence speed of particle swarm optimization （PSO） algorithm at the later stage and to improve its searching ability,a resilient particle swarm optimization （RPSO） algorithm was designed,which updates particle velocity by an adaptive scheme.A mathematical model for the optimization problem of hydropower projects was established.The realization method of the RPSO algorithm for the optimal scheduling of hydropower projects was proposed,including design of particle coding,design of fitness function and design of elastic modifier,etc.The optimal program based on the Matlab language was compiled.The results of an example show that the RPSO algorithm is effective.Compared with the PSO algorithm and APSO algorithm,the RPSO algorithm has stronger global optimization ability and faster convergence speed with regard to the optimal scheduling of hydropower projects.

关 键 词：水电工程 优化调度 粒子群优化算法 

分 类 号：TV697.11[水利工程—水利水电工程]