红水河2024，Vol.43Issue(2)：112-117,6.DOI:10.3969/j.issn.1001-408X.2024.02.022
基于改进黑猩猩优化算法的有源配电网重构
Active Network Reconfiguration Based on Improved Chimp Optimization Algorithm
许克华 1胡少华 1周光远 1刘闯1
作者信息
- 1. 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 better solve the problem of active network reconfiguration,this paper proposes an active network reconfiguration method based on improved chimp optimization algorithm(ICOA).Taking the system network loss,voltage offset index and load balance degree as the optimization objectives,a multi-objective reconfiguration model of active network is established,and the multi-objective is transformed into a single objective by using the weighted processing method.The chimp optimization algorithm(COA)is improved by using the nonlinear variation of convergence coefficient and the pinhole imaging learning strategy,and the ICOA with better optimization effect is obtained.The objective function is optimized by ICOA,and the effectiveness of the proposed method is verified by an example analysis.The results show that the system network loss,voltage offset index and load balance degree after ICOA reconfiguration decrease by 6.89％,56.82％and 45.76％respectively,and the economy and stability of active distribution network operation are improved comprehensively.关键词
有源配电网重构/改进黑猩猩优化算法/分布式电源/适应度函数Key words
active network reconfiguration/improved chimp optimization algorithm/distributed generation/fitness function分类
信息技术与安全科学引用本文复制引用
许克华,胡少华,周光远,刘闯..基于改进黑猩猩优化算法的有源配电网重构[J].红水河,2024,43(2):112-117,6.
