张磐,黄旭,高强伟,朱聪,黄福泉,孙伟卿.基于运行扰动数据分析的低压台区拓扑辨识方法研究[J].电测与仪表,2024,61(3):58-63. ZHANG Pan,HUANG Xu,GAO Qiangwei,ZHU Cong,HUANG Fuquan,SUN Weiqing.Research on topology identification method of low-voltage station based on operational disturbance data analysis[J].Electrical Measurement & Instrumentation,2024,61(3):58-63.
基于运行扰动数据分析的低压台区拓扑辨识方法研究
Research on topology identification method of low-voltage station based on operational disturbance data analysis
The traditional topology identification method low-voltage station has a series of problems, such as low accuracy, poor anti-interference ability, and low efficiency. To solve the above problems, a topology identification method based on current operation disturbance data is proposed in this paper. The improved grey correlation analysis method is used to analyze the current disturbance data of low-voltage outgoing cabinet, branch box, optical power cabinet and meter box collected by the measuring terminal, and calculate the data correlation of different parts of the low-voltage station area, so as to realize the identification of power supply subordination relationship in the substation area. The connection relationship between the incoming and outgoing lines of each part of the station area is determined by the current, and the topology of the station area is identified. The example results show that the topology identification using current disturbance data has the characteristics of high accuracy and high calculation efficiency, so it has more value and potential in practical application.
