A method and a system for diagnosing the operating state of a transformer area

Abstract

The invention relates to a method for diagnosing the operation state of a transformer area. The method comprises the following steps: S100, collecting marketing data and distribution network data fromeach service system of each transformer area; S200, preprocessing the marketing data and the distribution network data; S300, unsupervised clustering is carried out on the preprocessed marketing dataand distribution network data, and the type of each transformer area is determined; Step S400, specifying different index weights by aiming at different types of districts in combination with expertexperience, and performing comprehensive scoring on the operation of each district by adopting a classical quantitative scoring model in which an analytic hierarchy process, an entropy weight method and TOPSIS are combined; and S500, determining the operation state of each transformer area according to the operation comprehensive score of each transformer area. In addition, the invention also discloses a system for diagnosing the operation state of the transformer area.

Description

technical field [0001] The present invention relates to a method for diagnosing the operating state, and more specifically, to a method and system for diagnosing the operating state of a station area. Background technique [0002] In the context of the era of big data, there are three main problems in the current management of the station area (the station area refers to the power supply area of ​​a transformer): first, the lack of big data application means, and the overemphasis on professional division of labor, which artificially causes gaps in the management work of the station area. Professional barriers, data segmentation. Second, there are many sites in the area, numerous equipment, complex problems, extensive on-site management, and lack of intuitive information on the operation and health of equipment in the area at all levels of management, resulting in a lack of accuracy, accuracy, Efficient data support. Third, high complaints, high trips, and high line loss ar...

AI Technical Summary

Problems solved by technology

[0002] In the context of the era of big data, there are three main problems in the current management of the station area (the station area refers to the power supply area of ​​a transformer): first, the lack of big data application means, and the overemphasis on professional division of labor, which artificially causes gaps in the management work of the station area. Professional barriers, data segmentation

Second, there are many sites in the area, numerous equipment, complex problems, extensive on-site management, and lack of intuitive information on the operation and health of equipment in the area at all levels of management, resulting in a lack of accuracy, accuracy, Efficient data support

Third, high complaints, high trips, and high line loss are the primary problems that plague the managers of the station area. The information on equipment indicators in the station area is scattered, and each major pays more attention to the abnormal analysis of individual indicators, which cannot completely solve the problem.

Images