Comparison of different chaotic maps in particle swarm optimization algorithm for long-term cascaded hydroelectric system scheduling

被引：69

作者：

He, Yao-Yao ^{[1
]}

Zhou, Jian-Zhong ^{[1
]}

Xiang, Xiu-Qiao ^{[1
]}

Chen, Heng ^{[1
]}

Qin, Hui ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Hydropower & Informat Engn, Wuhan 430074, Hubei, Peoples R China

来源：

CHAOS SOLITONS & FRACTALS | 2009年 / 42卷 / 05期

关键词：

SEARCH; SCHEME;

D O I：

10.1016/j.chaos.2009.04.019

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

The goal of this paper is to present a novel chaotic particle swarm optimization (CPSO) algorithm and compares the efficiency of three one-dimensional chaotic maps within symmetrical region for long-term cascaded hydroelectric system scheduling. The introduced chaotic maps improve the global optimal capability of CPSO algorithm. Moreover, a piecewise linear interpolation function is employed to transform all constraints into restrict upriver water level for implementing the maximum of objective function. Numerical results and comparisons demonstrate the effect and speed of different algorithms on a practical hydro-system. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：3169 / 3176

页数：8

共 26 条

[1] Identification and prediction of discrete chaotic maps applying a Chebyshev neural network [J].