Research on the distribution mechanism of fault alarm information for power grid fault diagnosis

Abstract

Abstract Power grid fault diagnosis aims to locate faulty components quickly and accurately. The alarm information generated by the SCADA system of the grid is the data basis for power grid fault diagnosis. The existing research lacks mechanical analysis of the alarm information, so the models and algorithms are difficult to be used in engineering applications. The established power grid fault diagnosis models are somewhat different from the actual grid, and the alarm information timing characteristics are difficult to express. In this paper, we analyze the correlation and characteristics of the data related to the number of voltages, number of stations, and duration of faults for each period, and analyze the spatial and temporal distribution mechanism of the alarm messages in conjunction with the characteristics of the equipment that issued the alarm messages during the fault events. It also compares the differences in the distribution patterns of the alarm information when the data sources are different. The research can lay the foundation for establishing fault diagnosis models and provide theoretical support for model design and algorithm research.