Optimal Configuration for Distributed Wind Generation Based on Cat and Mouse Swarm Algorithm

doi:10.11930/j.issn.10.11930.2015.6.1

Abstract

Abstract: Smart grid is an important basis for energy sustainable development. One of important characteristic of smart grid is distributed renewable power generation. With consideration of economy, technology and environment factors, a new optimal algorithm, cat and mouse swarm algorithm, is presented based on flocking algorithm and cat swarm algorithm. Optimal configuration of distributed wind power generation is studied by using proposed algorithm, including wind turbine location and capacity selection. The proposed algorithm is insensitive to parameters, which is robust during optimization. Simulation results based on IEEE14 node system show the validity and superiority of the proposed algorithm.

Key words: dispersed generation, wind generation, optimal configuration, cat and mouse swarm algorithm

CLC Number:

TM614

YANG Jun, ZHANG Chuang, HUANG Xu, SUN Qiuye. Optimal Configuration for Distributed Wind Generation Based on Cat and Mouse Swarm Algorithm[J]. Electric Power, 2015, 48(6): 1-7.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.10.11930.2015.6.1

https://www.electricpower.com.cn/EN/Y2015/V48/I6/1

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