Abstract:

In order to accurately classify the fault types after short-circuit faults on distribution lines,this paper proposed a fault classification method combined with a random forest algorithm classifier.According to the characteristics of the fault current in the resonant grounding system,an integrated empirical mode decomposition (EEMD) is used to extract the transient high-frequency components of the fault line current,and seven fault characteristic quantities are established to distinguish different fault types.A simulation model was established in PSCAD/EMTDC,and a large number of samples were obtained by changing the transition resistance,the initial angle of the fault,and the fault line.The random forest classifier was successively trained and tested.The test results show that the method has high classification accuracy.

Key words: distribution lines, short-circuit faults, fault classification, high-frequency components, ensemble empirical mode decomposition(EEMD)