| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 399974 | International Journal of Electrical Power & Energy Systems | 2012 | 7 Pages |
Abstract
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 ψd and ri 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.
► A FCASO algorithm is developed for solving the ED problems. ► The FCASO algorithm embeds a fuzzy system to dynamically tune the parameters of CASO. ► The application of the proposed method demonstrates its effectiveness to the ED problems.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jiejin Cai, Qiong Li, Lixiang Li, Haipeng Peng, Yixian Yang,