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基于改进粒子群算法的水库优化调度研究
引用本文:黎晓峰,薛保菊,李维乾.基于改进粒子群算法的水库优化调度研究[J].水力发电,2008,34(11).
作者姓名:黎晓峰  薛保菊  李维乾
作者单位:西安理工大学西北水资源与环境生态教育部重点实验室,陕西,西安,710048
基金项目:国家高技术研究发展计划(863计划),国家自然科学基金
摘    要:对粒子群优化算法易陷入局部最优的缺点作了改进,提出了一种带有扰动项的改进的粒子群优化算法,并将其应用于水电站水库优化调度中。实例计算证明,改进后的粒子群优化算法具有较好的全局搜索能力,能够有效克服陷入局部最优的缺点,是水库优化调度比较有效的方法。

关 键 词:粒子群算法  水库  优化调度  全局最优

Improved Particle Swarm Optimization algorithm and Its application in optimal operation of reservoir
Li Xiaofeng,Xue Baoju,Li Weiqian.Improved Particle Swarm Optimization algorithm and Its application in optimal operation of reservoir[J].Water Power,2008,34(11).
Authors:Li Xiaofeng  Xue Baoju  Li Weiqian
Abstract:Aimed at the disadvantage of partial optima of particle swarm optimization algorithm,an improved algorithm with disturbance term(PSO-DT) is introduced in this paper.The PSO-DT algorithm for the power station reservoir opera-tion testifies that it is a better method in the global searching.For the capability to deal with the shortcoming,the new algorithm will be an effective way to solve the matter of reservoir operation.
Keywords:particle swarm algorithm  reservoir  optimal operation  global optimization
本文献已被 CNKI 维普 万方数据 等数据库收录!
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