User-transformer relation abnormity identification method based on spatial position

Abstract

The invention provides a user-transformer relation abnormity identification method based on a spatial position, and the method comprises the steps: achieving the consistency matching of transformers and power customers of production, GIS and marketing through a data fusion algorithm, and constructing a static user-transformer relation; acquiring geographic coordinate data of the transformers and power supply range data of the transformers, and acquiring geographic coordinate data of the power customers at the same time; and calculating the distance between the transformers and the power customers to which the transformers belong through a spatial position coordinate distance calculation method, judging the calculated distance by taking the power supply range of the transformers as a reference, and identifying a suspected abnormal user-transformer relationship. According to the invention, the accuracy of power grid user-to-change relation identification is improved, the user-to-change relation accuracy is improved at the lowest cost, the quality of power grid basic data is effectively improved, the user-to-change relation is updated in time, and the accuracy and convenience of user-to-change relation verification are improved to a certain extent.

Description

technical field [0001] The invention relates to distribution network management technology, in particular to a spatial location-based identification method for household-change relationships, which can provide a solution for efficiently identifying abnormal household-change relationships. Background technique [0002] In the distribution network low-voltage management of power grid enterprises, the identification and management of the household-to-substation relationship has always been a management difficulty, and it is also a key task of management, because the household-to-substation relationship is to carry out distribution network low-voltage line management, line loss management, power outage management, equipment management and other tasks The basics. In recent years, in order to improve the accuracy of identifying the relationship between households and transformers, power grid companies have also adopted various solutions, such as using a station area identifier to ...

AI Technical Summary

Problems solved by technology

Considering that the remaining data with abnormal relationships between households and households are difficult to troubleshoot, especially the complexity of distribution network line connections, the diversity of line erection methods, the high requirements for customer service for electricity, and the economics of data verification and data governance, etc. It is a factor that restricts the further improvement of the accuracy of the relationship between households and households

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