Application of chaos particle swarm optimization algorithm to mid-long term optimal operation of hydropower station

被引：0

作者：

Huang, Weibin ^{[1
]}

Ma, Guangwen ^{[1
]}

Wang, Hekang ^{[1
]}

Li, Jia ^{[1
]}

Wang, Liming ^{[1
]}

机构：

[1] Institute of Hydroelectric Engineering, Sichuan University, Chengdu, Sichuan 610065, China

来源：

Shuili Fadian Xuebao/Journal of Hydroelectric Engineering | 2010年 / 29卷 / 01期

关键词：

Hydroelectric power - Hydroelectric power plants;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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 of convergence and stability.

引用

页码：102 / 105

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