Voltage sag analysis based on cluster analysis and correlation analysis

Abstract

Based on data mining algorithm, a voltage sag analysis method is proposed, which first performs clustering analysis and then correlation analysis. Firstly, the climatic factors are used to cluster the data, and then the correlation analysis of each cluster is carried out according to the selected voltage sag feature dimensions, finally, the strong association rules are obtained. Through the analysis of the example, it is found that there are some certain correlations between the climatic factors, the voltage sag dimensions and the causes of the voltage sag. These correlations can provide a theoretical basis for the prevention and control of voltage sag.