Topology Identification Method of Low Voltage Aea Based on Topological Data Analysis

Abstract

This paper proposes a topology identification method for low-voltage area based on topological data analysis. The main idea is to complete the data screening process by using time series metrological big data, that is, to preprocess the data. On the basis, a topology identification method based on existing data analysis is found. This method takes the transformation of distance measurement into probability measurement as the precondition. Firstly, it completes the measurement between data points in high-dimensional space, secondly, it completes the measurement between data points in low dimensional space, and finally establishes the correlation between the two measures to complete the mapping process from high-dimensional spatial data to low dimensional spatial data. By identifying the topological characteristics of the data set itself, it measures the number of data points. According to the shape, the device network topology of low voltage area is obtained.