Research on Economic Load Dispatch Problem of Microgrid Based on an Improved Pelican Optimization Algorithm

被引:4
|
作者
Zhang, Yi [1 ]
Li, Haoxue [1 ]
机构
[1] Jilin Jianzhu Univ, Coll Elect & Comp Sci, Changchun 130119, Peoples R China
关键词
economic load dispatch; pelican optimization algorithm; crisscross optimization algorithm; dimensional variation strategy; SYSTEM; FLOW;
D O I
10.3390/biomimetics9050277
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents an improved pelican optimization algorithm (IPOA) to solve the economic load dispatch problem. The vertical crossover operator in the crisscross optimization algorithm is integrated to expand the diversity of the population in the local search phase. The optimal individual is also introduced to enhance its ability to guide the whole population and add disturbance factors to enhance its ability to jump out of the local optimal. The dimensional variation strategy is adopted to improve the optimal individual and speed up the algorithm's convergence. The results of the IPOA showed that coal consumption was reduced by 0.0292%, 2.7273%, and 3.6739%, respectively, when tested on 10, 40, and 80-dimensional thermal power plant units compared to POA. The IPOA can significantly reduce the fuel cost of power plants.
引用
收藏
页数:18
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