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
为了更好地解决有源配电网重构问题,笔者提出一种基于改进黑猩猩优化算法(improved chimp optimization algorithm,ICOA)的有源配电网重构方法.以系统网损、电压偏移指数和负荷均衡度作为优化目标,建立有源配电网多目标重构模型,并利用加权处理法将多目标转化为单目标.采用收敛系数非线性变化和小孔成像学习策略对黑猩猩优化算法(chimp optimization algorithm,COA)进行改进,得到了优化效果更好的ICOA,并利用ICOA对目标函数进行优化,通过算例分析对所提方法的有效性进行验证.结果表明,采用ICOA重构后的系统网损、电压偏移指数和负荷均衡度分别下降 36.89%、56.82%和 45.76%,有源配电网运行的经济性和稳定性全面提升.
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引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据