Modeling Method of the Overhead Power Line Failure Rate Based on Meteorological Factors

The problem of the overhead power line failures caused by extreme weather is more and more frequent. Based on this background, this paper uses clustering by fast search and find of density peaks (DPC) algorithm to simplify and classify scenarios based on weather data and overhead power line failure data. The comprehensive meteorological index is obtained by processing weather data such as temperature, precipitation, wind speed and humidity. The polynomial fitting method based on the least square method is used to fit the data between the comprehensive meteorological indicators and the failure rate of the corresponding scene set. Through the above steps, the grid failure rate model based on meteorological factors is established. To verify the effectiveness of the method of establishing the overhead power line failure rate model based on meteorological factors, the practical line data of a city in eastern China is modeled and analyzed, which proves the effectiveness of the model establishment method.