Author(s)

Zhiyang Zhang, Huaqin Qin, Yingyu Wang and Lanpeng He

Corresponding Author

Yingyu Wang

ABSTRACT

With the popularization of smart meters and the rapid advancement of the construction of electricity information acquisition system, in view of the complex site situation of the station area, through the study and analysis of the factors affecting the line loss rate of the station area, real-time and accurate analysis of the reasons for the change of the line loss rate, it is convenient for personalized and detailed management of the line loss of the station area, and more accurate positioning of the problem platform area. On the basis of large data of intelligent power consumption, the causes of abnormal line loss in low-voltage power station area are analyzed by data mining and analysis technology, which provides management basis for formulating reasonable power supply area in power station area. We will further promote the transformation of line loss management from result management to process management, and improve the level and quality of line loss management in public transformer stations.

KEYWORDS

Line loss, intelligent diagnosis, big data, data mining