Application of immune algorithm-based particle swarm optimization for optimized load distribution among cascade hydropower stations

被引：18

作者：

Li, Anqiang ^{[2
]}

Wang, Liping ^{[1
]}

Li, Jiqing ^{[1
,3
]}

Ji, Changming ^{[1
]}

机构：

[1] N China Elect Power Univ, Coll Renewable Energy, Beijing 102206, Peoples R China

[2] Wuhan Univ, States Key Lab Water Resource & Hydropower Engn S, Wuhan 430072, Peoples R China

[3] Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA

来源：

COMPUTERS & MATHEMATICS WITH APPLICATIONS | 2009年 / 57卷 / 11-12期

基金：

美国国家科学基金会;

关键词：

Cascade hydropower stations; Load distribution; Immune algorithm; PSO;

D O I：

10.1016/j.camwa.2008.10.016

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The immune algorithm-based particle swarm optimization (IA-PSO), which is proposed by involving the immune information processing mechanism into the original particle swarm optimal algorithm, improves the ability to find the globally excellent result and the convergence speed with its special concentration selection mechanism and immune vaccination. Based on analyzing the model of load distribution among cascade hydropower stations and the traits of IA-PSO, the corresponding mathematical description and the solution procedure made with IA-PSO are given in detail. The result demonstrates that IA-PSO can achieve both a superior load distribution scheme and a higher convergence precision as compared to PSO, and will hopefully be applied to solving more extensive optimization problems. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：1785 / 1791

页数：7

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