Abstract:With the rapid development of smart grid, the intelligence level of distribution network is higher and higher. The coverage rate of the smart meter is increasing year by year. With the massive data collected by the smart meter every 15 minutes and supplemented by the operation data of the transformer terminal, the situation analysis and application of the station area operation are carried out from three perspectives of line loss, fault and grid analysis in the low voltage station area. Through lean line loss analysis, the causes of abnormal line loss are studied, the consistency of distribution network transformers is judged, and the data accuracy of intelligent devices is evaluated; through the calculation of loop impedance model in low-voltage station area, the impedance value is used to realize the prediction of abnormal distribution network and the evaluation of grid impedance; through the research and analysis of distribution network faults, Accurate and active diagnosis of different types of faults can be realized in time to further improve the "last kilometer" service efficiency of power supply services. In this paper, through in-depth mining of large data value in the field of smart grid, to promote business innovation, performance improvement, refine customer classification, to meet the needs of intelligent and diversified power consumption, improve distribution network perception.