Cuckoo Search Algorithm with Interactive learning for Economic Dispatch

被引:0
|
作者
Zhao, Jian [1 ,2 ]
Liu, Shixin [1 ]
Wang, Yifan [1 ]
机构
[1] Northeastern Univ, Collage Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
[2] Univ Sci & Technol Liaoning, Sch Sci, Anshan 114051, Peoples R China
关键词
Cuckoo search algorithm; Economic dispatch; Interactive learning; Linear decreasing probability; Prohibited operating zones; Valve point effect; Ramp rate limits; Power balance; PARTICLE SWARM OPTIMIZATION; LOAD DISPATCH; GENERATOR CONSTRAINTS; DIFFERENTIAL EVOLUTION; POWER-SYSTEM; HYBRID; SQP;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a proposed cuckoo search algorithm with interactive learning and linear decreasing probability strategy (CSIL) to solve the economic dispatch problem with power balance, prohibited operating zones, valve point effect, and ramp rate. In the new approach, interactive learning strategy helps the nest to exchange good information from each other. Meanwhile, the linear decreasing probability is used to balance exploration and exploitation of the algorithm. The effectiveness of the CSIL algorithm has been verified on different test systems. Simulation results indicate that the CSIL algorithm performs better than, or at least comparable to state-of-the-art methods from literature.
引用
收藏
页码:2904 / 2909
页数:6
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