Study of Influencing Factors of 10kV Distribution Network Fault Based on PCA Model

Abstract

While the economic growth increases in China, the tolerance for distribution network fault decreases. To better prevent distribution network from failure, the influential factors need to be determined. This study mainly focus on the internal and external influencing factors of distribution network to examine the main factors and the degree of each factor. The database vary from daily electric load to wind scale, precipitation quantity and air quality index during 2015-2016 period. Because of the massive quantity and complexity in relevance data category, the Principle Component Analysis (PCA) has been applied in this study to reduce dimension and to de-correlate. Test the validity of influencing factor. If data pass the assessment, PCA method is used to determine the principle component expression for distribution network fault. The consequence of this study provides various repair solutions when scheduling the distribution network equipment’s maintenance plan.