Research on Power Grid Meteorological Disaster Correlation Analysis Based on Improved Apriori Algorithm

Yongkai Ding, Guodong Li

Abstract: In recent years, due to the frequent occurrence of extreme meteorological disasters, the safe operation and production activities of power grid have been greatly threatened. If we can find out the relationship between different types of climate and power grid equipment failure, it can provide help for power grid disaster prevention and reduction. Therefore, this paper chooses to use the Apriori algorithm based on mapping and pre-pruning to analyze the relationship between meteorological disasters and power grid equipment faults. Compared with the classical Apriori algorithm, this algorithm reduces the number of scanning transaction databases and the amount of calculation, so as to improve the efficiency. The improved Apriori algorithm is used to find out the correlation between meteorological disasters and power grid equipment faults, so as to understand the influence scope and degree of meteorological disasters. Finally, the effectiveness of the proposed method is verified by experiments.

Keywords: Apriori Algorithm, Power Grid, Meteorological Disasters, Mapping, Pre-pruning