Chaotic ant swarm optimization to economic dispatch

被引：76
|
作者：
Cai, Jiejin [1 ]
Ma, Xiaoqian
Li, Lixiang
Yang, Yixian
Peng, Haipeng
Wang, Xiangdong
机构：
[1] S China Univ Technol, Elect Power Coll, Guangzhou 510640, Peoples R China
[2] Beijing Univ Posts & Telecommun, Informat Secur Ctr, Dept Informat Engn, Beijing 100876, Peoples R China
[3] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching, Beijing 100876, Peoples R China
[4] Shenyang Univ Technol, Sch Informat Sci & Engn, Shenyang 110023, Peoples R China
来源：
ELECTRIC POWER SYSTEMS RESEARCH | 2007年 / 77卷 / 10期
基金：
中国国家自然科学基金;
关键词：
chaotic ant swarm optimization; economic dispatch; ant colony optimization; swarm intelligence;
D O I：
10.1016/j.epsr.2006.10.006
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 novel algorithm named chaotic ant swarm optimization (CASO) for solving the economic dispatch (ED) problems of thermal generators in power systems. This algorithm combines with the chaotic and self-organization behavior of ants in the foraging process. it includes both effects of chaotic dynamics and swarm-based search. The algorithm was employed to solve the ED problems of thermal generators. The proposed method was applied to three examples of power systems. Simulation results demonstrated that the method can obtain feasible and effective solutions, and it is a promising alternative approach for solving the ED problems in practical power systems. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码：1373 / 1380
页数：8
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