Research on Automatic Fault Diagnosis of Distribution Network Based on Artificial Intelligence
The accuracy and real-time performance of distribution network fault diagnosis is very important to ensure the safe and stable operation of power system.This paper presents an automatic fault diagnosis method for distribution network based on artificial intelligence.Through multi-source data acquisition,feature extraction and selection,Support Vector Machine(SVM)classification model and other technologies,the method realizes the rapid and accurate diagnosis of typical faults such as single-phase grounding,two-phase short circuit,three-phase short circuit and line break.The experimental results show that compared with the traditional expert system,the proposed method has significantly improved the diagnostic accuracy and real-time performance.The research results provide a new technical way to improve the automation level of distribution network and have important significance to promote the construction of smart grid.
distribution network automationfault diagnosisartificial intelligence
NETL
NSTL
万方数据
