Research on Intelligent Diagnosis of Station Line Loss Based on Data Mining Technology

Abstract

Abstract The construction time of the distribution network is long and the lines are complex. It is an important component of the power supply enterprise’s business of reducing losses and increasing efficiency. Through the data u mining processing method, based on the big data of the power grid, the use of computer automatic calculation, manual verification and other methods not only realizes accurate positioning of the crux, but also greatly saves analysis and processing time; and solves the line loss problem while completing the redundant and disordered files. The clean-up and repair of power stations and the standardized transformation of the stations with large technical line losses have reduced the power losses in the stations, improved the economic benefits of the power supply bureau and achieved remarkable results. The comprehensive management of the line loss in the station area requires the full cooperation of all relevant departments to effectively control and reduce the line loss rate, which can improve the utilization rate of electric energy, analyze the abnormal phenomenon of the line loss in the station area and further standardize the line loss management measures of the enterprise, so that the company Responding to various special situations becomes stronger.