A new method for identifying a fault in T-connected lines based on multiscale S-transform energy entropy and an extreme learning machine.

ABSTRACT: Due to the characteristics of T-connection transmission lines, a new method for T-connection transmission lines fault identification based on current reverse travelling wave multi-scale S-transformation energy entropy and limit learning machine is proposed. S-transform are implemented on the faulty reverse traveling waves measured by each traveling wave protection unit of the T-connection transmission line, the reverse travelling wave energy entropies under eight different frequencies are respectively calculated, and a T-connection transmission line fault characteristic vector sample set are thus formed. Establish an intelligent fault identification model of extreme learning machines, and use the sample set for training and testing to identify the specific faulty branch of the T-connection

SUBMITTER: Wu H 

PROVIDER: S-EPMC6695217 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature