The topology of the low-voltage distribution area is of great significance to line loss analysis,demand response,and safe operation of distributing networks.This work proposed a random forest clustering method using voltage time se-ries to solve the problem of unclear topological relationship in distributing networks.Through the analysis of the voltage similarity mechanism between the user side and the secondary side,the Pearson similarity was used to construct the fea-ture vector set of the voltage time series,and random forest-based topological structure model was established.Through simulation analysis,the proposed method was verified highly accurate.
关键词
低压台区/拓扑识别/皮尔逊相关系数/随机森林
Key words
low-voltage distribution area/topology identification/Pearson correlation coefficient/random forest
维普
万方数据