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梯级水库发电优化调度的改进粒子群算法应用研究
引用本文:原文林,万芳,吴泽宁,黄强.梯级水库发电优化调度的改进粒子群算法应用研究[J].水力发电学报,2012,31(2):33-37,164.
作者姓名:原文林  万芳  吴泽宁  黄强
作者单位:1. 郑州大学水利与环境学院,郑州,450002
2. 西安理工大学水利水电学院,西安,710048
基金项目:国家自然科学基金(51109189);中国博士后科学基金资助项目(20100471007)
摘    要:本文针对粒子群算法在求解高维、复杂的梯级水库发电优化调度时后期种群缺乏多样性、收敛于局部最优解的缺陷,结合梯级水库发电优化调度的特点,提出了应用差分演化算法改进粒子群的混合优化算法。通过实际算例验证了该混合方法的合理性和可靠性,从而为高维、复杂梯级水库发电优化调度模型求解提供了一种新的途径。

关 键 词:水电工程  梯级水库  优化调度  粒子群算法  差分演化算法

Application of improved particle swarm algorithm to optimized operation of cascade reservoir power generation
YUAN Wenlin,WAN Fang,WU Zening,HUANG Qiang.Application of improved particle swarm algorithm to optimized operation of cascade reservoir power generation[J].Journal of Hydroelectric Engineering,2012,31(2):33-37,164.
Authors:YUAN Wenlin  WAN Fang  WU Zening  HUANG Qiang
Affiliation:1.School of Water Conservancy and Environment Engineering,Zhengzhou University,Zhengzhou 450002; 2.Faculty of Water Resources and Hydraulic Power,Xi’an University of Technology,Xi’an 710048,China)
Abstract:An improved particle swarm optimization(PSO)algorithm is proposed to optimize the operation of high-dimensional and complex cascade reservoirs.By adopting a differential evolution technique,this combination algorithm can preserve the variety of PSO and avoid the premature of PSO.It was verified by application to a case study and would provide a new approach to optimal operation of cascade reservoirs.
Keywords:hydropower engineering  cascade reservoir  optimal operation  particle swarm optimization algorithm  differential evolution algorithm
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