Research on the Fault Diagnosis and Positioning Method of Electric Power System Based on Deep Learning
the operation stability of electric power system is of great significance to our country national economic con-struction,with the sustainable development of social economy in recent years,industry production demand for power re-sources is more and more big,timely solve the problem of power system failure,protect the stability of power system has become an urgent problem in the development of electric power enterprise.Timely detection and positioning of power sys-tem fault problems is conducive to the staff to timely solve the hidden danger of power system safety,ensure the stability of transmission and distribution supply,and create a high-quality distribution environment.With the continuous upgrading of intelligent technology,the traditional artificial maintenance way gradually eliminated,deep learning as a key technology in the field of artificial intelligence,its application in the power system fault diagnosis and positioning work,the rapid po-sitioning and diagnosis of power collaborative fault,defects,hidden trouble has great significance,based on this paper puts forward the power system fault diagnosis and positioning,through deep learning simulation artificial fault positioning and diagnosis of power system,improve the efficiency of power system fault processing,provide reference for continue to promote the construction of smart grid.
deep learningpower systemfault diagnosisfault locationsmart grid
NETL
NSTL
万方数据
