宋晓林,张佳元,崔超奕,黄璐涵,骆一萍,曾翔君.基于用电信息采集数据的低压台区异常线损诊断新方法[J].电测与仪表,2024,61(6):209-217. SONG Xiaolin,ZHANG Jiayuan,CUI Chaoyi,HUANG Luhan,LUO Yiping,ZENG Xiangjun.New Diagnosis Method of Abnormal Line Loss in Low Voltage Area Based on Electricity Information Collection Data[J].Electrical Measurement & Instrumentation,2024,61(6):209-217.
基于用电信息采集数据的低压台区异常线损诊断新方法
New Diagnosis Method of Abnormal Line Loss in Low Voltage Area Based on Electricity Information Collection Data
The line loss analysis of the low-voltage distribution network station area is of great significance to discover and solve the problem of abnormal line loss, reduce electricity loss and fine management of users. Based on the real data collected by the full-event electricity information collection system, this paper proposes a new line loss diagnosis method for low voltage station area. The method uses the grid diagnostic rules to analyze the quality of the collected raw data, and through the extraction and classification of the line loss characteristics of the station area, establishes a binary K-Means clustering diagnostic algorithm based on voltage information and a global search diagnostic algorithm based on power information, which realizes the rapid positioning of abnormal users and the treatment of line loss anomalies in the station area. By eliminating abnormal meters and actual tests show that the method has high accuracy and certain practicability.
