基于自适应分段云模型的单相用户相别辨识方法

针对低压配电台区拓扑结构中相别关系错误的问题,利用台区配电变压器低压侧相电压序列和用户电压序列的相似性,提出了一种基于自适应分段云模型的单相用户相别辨识方法.首先,利用云模型的数字特征刻画电压序列的数据分布;然后,利用自适应分段云模型算法自适应地确定电压序列的分段总数以及每个分段的起始时刻和结束时刻;最后,计算电压序列...

Phase Identification Method for Single-phase User Based on Adaptive Piecewise Cloud Model

Aiming at the problem of the wrong phase relationship in the topology of low-voltage distribution station areas,by using the similarity between the phase voltage sequence on the low-voltage side of the distribution transformer in the station area and the user voltage sequence,this paper proposes a phase identification method for single-phase users based on the adaptive piecewise cloud model.First,the digital features of the cloud model are used to describe the data distribution of the voltage sequence.Then,the adaptive piecewise cloud model algorithm is used to adaptively determine the total number of segments of the voltage sequence and the start time and end time of each segment.Finally,the similarity of the piecewise cloud model of the voltage sequence is calculated to determine the phase connection relationship between the users and the distribution transformers in the station area.This method is not affected by the topology and load changes of the station area,and is universal.Aiming at the situation that the three-phase voltage of the distribution transformers in the station area is very close,compared with the existing similarity algorithms,the proposed method has better discrimination and higher accuracy in the phase identification results.Numerical simulation and case analysis verify the effectiveness of the proposed method.