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

作　　者：许克华 胡少华 周光远 刘闯 XU Kehua;HU Shaohua;ZHOU Guangyuan;LIU Chuang(Jingmen Power Supply Company State Grid Hubei Electric Power Co.Ltd.Jingmen 448001, China)

机构地区：[1]国网湖北省电力有限公司荆门供电公司,湖北荆门448001

出　　处：《红水河》2024年第2期112-117,共6页Hongshui River

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。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 

分 类 号：TM73[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]