Research on Fault Diagnosis System of Power System Relay Protection Equipment
With regard to the high-dimensional and nonlinear characteristics of power system fault diagnosis and real-time requirements,traditional methods are difficult to meet the demand for accurate and fast diagnosis.Hence,this paper proposes a power system relay protection fault diagnosis system based on Support Vector Machine(SVM).Firstly,high-precision sensors are utilized to collect real-time power system operation state data,and then the collected data are preprocessed to extract key features.The preprocessed data are fed into a trained and optimized SVM model for fault classification and identification.Experimental results show that the system has significant effects in ensuring the stable operation of the power system,can quickly and accurately diagnose various types of faults in the power system,and significantly improves the timeliness and accuracy of fault handling.
Support Vector Machine(SVM)power systemfault diagnosis
NETL
NSTL
万方数据
