Design and Implementation of Power System Grounding Grid Fault System Based on Fuzzy Control Algorithm

The grounding grid of substation is an important structure to ensure the reliable operation and personal safety of substation. Because the grounding grid of substation is generally buried underground, it is impossible to diagnose and identify the fault intuitively when the grounding grid fails, thus endangering the stable and reliable operation of substation. In the field of power operation and maintenance, the previous fault diagnosis scheme has fallen behind, so how to predict and diagnose the fault data of electric power system (EPS) grounding network with high quality and high efficiency is a difficult problem that needs to be improved urgently. In this article, a new fault diagnosis method of EPS grounding grid is studied and designed, which combines fuzzy control calculator with big data algorithm model, extracts fault data characteristics of EPS grounding grid based on improved big data algorithm model, and completes data diagnosis by analyzing the functional system of EPS grounding grid working condition. The simulation results show that the accuracy of this method has obvious advantages over the comparison algorithm in power fault data analysis after many iterations, and the accuracy is as high as 96.55%, which is 20.14% higher than that of SVM algorithm. Compared with the previous methods, the diagnostic sensitivity and accuracy of this method are significantly improved, which effectively solves the problems of low sensitivity and large diagnostic error in the fault detection of EPS grounding network in the prior art.