红水河2024，Vol.43Issue(3)：69-74,6.DOI:10.3969/j.issn.1001-408X.2024.03.013
基于蜣螂优化算法的分布式电源配置研究
Distributed Generation Configuration Based on Dung Beetle Optimizer Algorithm
郭开春 1王文学 1刘闯 2汪珂 2邓睿2
作者信息
- 1. 国网湖北省电力有限公司龙感湖区供电公司,湖北 黄冈 435503
- 2. 国网湖北省电力有限公司荆门供电公司,湖北 荆门 448001
- 折叠
摘要
Abstract
In order to solve the configuration problem of distributed generation(DG)and improve the economy of DG grid connection,a DG configuration method based on dung beetle optimizer(DBO)algorithm is proposed.The multi-objective function is constructed based on the user's electricity purchase cost,DG investment cost,network loss cost and environmental penalty cost.The analytic hierarchy process is used to determine the weight of each objective function,and the multi-objective function is transformed into a comprehensive objective function.The DBO algorithm is used to optimize the comprehensive objective function,and the IEEE33 node system is used for example analysis,and the results are compared with those of the three comparison algorithms.The results show that the minimum fitness value of the DBO algorithm to optimize the comprehensive objective function is 8.4177 million yuan;Compared with other comparison algorithms,the distributed generation configuration based on the DBO algorithm is better.关键词
分布式电源/配置/蜣螂优化算法/层次分析法/综合目标函数Key words
distributed generation/configuration/dung beetle optimizer algorithm/analytic hierarchy process/comprehensive objective function分类
信息技术与安全科学引用本文复制引用
郭开春,王文学,刘闯,汪珂,邓睿..基于蜣螂优化算法的分布式电源配置研究[J].红水河,2024,43(3):69-74,6.
