A fuzzy adaptive chaotic ant swarm optimization for economic dispatch

作者：Cai, Jiejin^*; Li, Qiong; Li, Lixiang; Peng, Haipeng; Yang, Yixian

来源：International Journal of Electrical Power & Energy Systems, 2012, 34(1): 154-160.

DOI：10.1016/j.ijepes.2011.09.020

• Economic dispatch
• Fuzzy adaptive chaotic ant swarm optimization
• Evolutionary algorithm
• Power system

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.

• 出版日期2012-1
• 单位中山大学; 华南理工大学; 北京邮电大学