Fault Diagnosis Techniques in Smart Distribution Grids Based on Multi-source Data
Intelligent distribution network fault diagnosis is a key link in ensuring the safe and stable operation of the power system.With the increasing complexity of modern power grids,traditional fault diagnosis methods are facing significant challenges.The intelligent fault diagnosis technology based on multi-source data integrates multiple data sources and advanced algorithms to achieve rapid and accurate identification and processing of faults.The article analyzes the relevant content and data acquisition and processing flow of the intelligent distribution network fault diagnosis system,and explores the application of multi-source data fusion technology in distribution network fault detection,in order to provide reference for relevant personnel.
smart distribution gridmulti-source datafault diagnosisdata fusiondeep learning
NETL
NSTL
万方数据
