Low-voltage transformer area user-transformer relation error correction and phase identification method

Abstract

The invention relates to the technical field of power grids and relates to a low-voltage transformer area user-transformer relation error correction and phase identification method. The method comprises the following steps of: inputting historical voltage data of all single-phase users in a transformer area and corresponding acquisition moments according to the residence numbers of users; performing analysis based on the historical voltage data of the users in the same transformer area, and extracting the correlation degree between the historical voltage data of the users in the same transformer area by adopting a Pearson correlation coefficient; calculating the correlation feature vector of each user, and establishing a feature set matrix of a to-be-analyzed transformer area; checking abnormal users according to the voltage features of each user; establishing an original voltage data set of normal users, performing cooperative dimension reduction processing on the data set of the original voltage, and outputting the set; and using a clustering algorithm divide all the normal users into three classes, and completing three-phase identification work. With the method adopted, the correctness of the topological connection relationship between the users and the area transformer in a power grid GIS system can be quickly and effectively verified; and the phase relationships of the users can be quickly and accurately identified.

Description

technical field [0001] The invention relates to the technical field of power grids, in particular to a method for error correction and phase identification of household transformer relationships in low-voltage station areas. Background technique [0002] In recent years, due to the frequent changes caused by the construction and development of the power grid (such as relocation, expansion, cutover, and distribution), the number of power users has increased, and the address of users has changed, the relationship between households in low-voltage station areas has changed. However, due to various conditions, such as line crossing, buried lines, etc., it is difficult to update the affiliation information of user meters and household substations in a timely manner, which affects the accuracy of basic data of the power grid. However, it is difficult to timely and accurately check the relationship between households in the distribution network through the traditional method, which...

AI Technical Summary

Problems solved by technology

This method has a high recognition rate, but it is only limited to the station area where the user meter supports the carrier communication protocol; on the other hand, the carrier communication has many noise sources and is easily interfered, so this method is not effective in the station area with large load fluctuations

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