Grading Evaluation of Typhoon Fault Impact in Electric Distribution Network Based on Data Mining

A grading evaluation method for typhoon faults impact on distribution network lines is proposed in this paper based on data mining. Firstly, based on the online monitoring of big data resources in the distribution network, the typhoon fault impact evaluation index system is constructed. Then, the data mining method such as principal component analysis and singlelevel analysis is used to obtain the weight of evaluation index. Finally, the typhoon fault impact comprehensive score of each line is calculated and the evaluation level is divided. The data of typhoon fault line of distribution network in a certain province of China is selected to analyze the practicality and effectiveness of the proposed algorithm. Using the rating result, we can accurately locate the weak link of distribution network line typhoon fault. It is of great significance to the precise operation and distribution network line upgrade of power supply company.