Line loss anomaly identification method for low-voltage station area considering distributed PV

被引：0

作者：

Han P. ^{[1
]}

Chen S. ^{[1
]}

Zhang N. ^{[1
]}

Wu H. ^{[1
]}

Qiu R. ^{[2
]}

Zhang Z. ^{[3
]}

机构：

[1] Anhui Provincial Laboratory of New Energy Utilization and Energy Conservation (Hefei University of Technology, Hefei

[2] Electric Power Scientific Research Institute of State Grid Anhui Electric Power Company Limited, Hefei

[3] State Grid Anhui Electric Power Company Limited, Hefei

来源：

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2023年 / 51卷 / 08期

关键词：

distributed PV; grey correlation; line loss abnormalities; outliers;

D O I：

10.19783/j.cnki.pspc.220894

中图分类号：

学科分类号：

摘要：

The identification of line loss anomalies in low-voltage distribution networks has always been very difficult, and the large number of distributed photovoltaics connected to distribution networks has changed their power flow. This makes the identification of line loss anomalies even more difficult. In this paper, a method is proposed to identify line loss anomalies in distributed PV access station area. First, the grey correlation between PV output and line loss rate is calculated to find the correlation between PV-related factors and line loss rate for distributed PV access station area. Second, k-means clustering is carried out to select suitable indicators according to the correlation of station area line loss, and outlier detection is carried out based on the clustering results to determine whether the station area has the possibility of a line loss abnormality. Finally, by analyzing the time dispersion of the clusters where the outliers are located, it can obtain the abnormal coefficient of the station area, and judge the abnormal line loss based on that coefficient. The results show that the method can effectively identify whether the line loss of a distributed PV access station is abnormal or not through the verification analysis of typical station areas containing distributed PV. © 2023 Power System Protection and Control Press. All rights reserved.

引用

页码：140 / 148

页数：8

共 30 条

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