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混沌粒子群算法在水库中长期优化调度中的应用
引用本文:黄炜斌,马光文,王和康,李佳,王立明.混沌粒子群算法在水库中长期优化调度中的应用[J].水力发电学报,2010,29(1).
作者姓名:黄炜斌  马光文  王和康  李佳  王立明
作者单位:四川大学水电学院,四川,成都,610065
基金项目:国家自然科学基金项目(50539140); 国家自然科学基金项目(50679098)
摘    要:将粒子群算法和混沌算法相结合,用于求解水库中长期优化调度问题.它利用了粒子群优化算法收敛速度快和混沌运动遍历性、随机性等特点,对传统粒子群算法进行改进,摆脱了粒子群算法后期易陷入局部极值点的缺点,同时又保持了前期搜索的快速性.通过实例计算,结果表明该算法在收敛性和稳定性等方面明显优于传统粒子群优化算法,是一种有效的搜索算法.

关 键 词:水电站  中长期优化调度  粒子群算法  混沌搜索

Application of chaos particle swarm optimization algorithm to mid-long term optimal operation of hydropower station
HUANG Weibin , MA Guangwen , WANG Hekang , LI Jia , WANG Liming.Application of chaos particle swarm optimization algorithm to mid-long term optimal operation of hydropower station[J].Journal of Hydroelectric Engineering,2010,29(1).
Authors:HUANG Weibin  MA Guangwen  WANG Hekang  LI Jia  WANG Liming
Affiliation:HUANG Weibin,MA Guangwen,WANG Hekang,LI Jia,WANG Liming(Institute of Hydroelectric Engineering,Sichuan University,Chengdu Sichuan 610065)
Abstract:This paper proposes a mixed algorithm based on the chaos-optimization algorithm and the particle swarm optimization algorithm to optimize the mid-long-term reservoir operation.The proposed algorithm improves the convergence by taking advantages of the two traditional algorithms,and can avoid the shortcoming of being easily trapped in a local extremum at the later evolution stage while maintain a rapid rate at the initial stage.Test cases indicate a better performance of the new algorithm than PSO in terms o...
Keywords:hydropower station  mid-long term optimal operation  particle swarm optimization algorithm  chaos search  
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