Research on the Algorithm Model of Smart Grid Line Loss Diagnosis Driven by Computer Eigenvector Method

Abstract

This paper focuses on the problems of low efficiency of abnormal control of line loss in XinJiang area, weak effect of loss reduction, and difficulty in abnormal monitoring. The computer eigenvector data method is used to integrate and optimize static and dynamic data. In this way, the in-depth mining of the data information of the XinJiang area is realized. Through the establishment of line damage and abnormal diagnosis and analysis models in the XinJiang area, scientific and standardized work management can be truly realized, the management lag problem can be effectively solved, and the management efficiency of the XinJiang area has been greatly improved.