Prediction of Primary Equipment Faults and Optimization Strategies for Electrical Testing in High-Voltage Power Systems
Taking two±500 kV DC converter stations as examples,this paper analyzes the common fault types,causes and tripping situations of primary equipment in HVDC converter stations,and puts forward a fault prediction model based on decision tree,which realizes the fault prediction,risk assessment and early warning through the links of data acquisition and processing,model construction,and early warning decision. It has been applied in two converter stations for one year,and the results show that the method can accurately predict most of the faults.
万方数据
维普
