A fuzzy adaptive chaotic ant swarm optimization for economic dispatch

被引：44

作者：

Cai, Jiejin ^{[1
,2
]}

Li, Qiong ^{[3
]}

Li, Lixiang ^{[4
]}

Peng, Haipeng ^{[4
]}

Yang, Yixian ^{[4
]}

机构：

[1] Sun Yat Sen Univ, Sch Phys & Engn, Guangzhou 510275, Guangdong, Peoples R China

[2] Sun Yat Sen Univ, Sino French Inst Nucl Engn & Technol, Guangzhou 510275, Guangdong, Peoples R China

[3] S China Univ Technol, State Key Lab Subtrop Bldg Sci, Guangzhou 510640, Guangdong, Peoples R China

[4] Beijing Univ Posts & Telecommun, Informat Secur Ctr, Beijing 100876, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2012年 / 34卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Economic dispatch; Fuzzy adaptive chaotic ant swarm optimization; Evolutionary algorithm; Power system; GENETIC ALGORITHM; LOAD DISPATCH; FLOW CONSTRAINTS; POWER-SYSTEM; COMPUTATION; UNITS;

D O I：

10.1016/j.ijepes.2011.09.020

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper developed a fuzzy adaptive chaotic ant swarm optimization (FCASO) algorithm for solving the economic dispatch (ED) problems of thermal generators in power systems. The FCASO algorithm introduces a fuzzy system to dynamically tune the characteristic parameters psi(d) and r(i) of chaotic swarm optimization (CASO). The proposed method was applied to two cases of power systems. The simulation results demonstrate the applicability and effectiveness of the proposed algorithm to the practical ED problem. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：154 / 160

页数：7

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