In the remote operation of intelligent substations,failures often occur due to device or network malfunc-tions,or inconsistencies in information,consequently hampering operation and maintenance efficiency.To address this,the paper proposes a remote barrier localization method for intelligent substations using deep belief networks(DBNs).Firstly,the whole process of remote control in an intelligent substation is decomposed to categorize the fail-ures into three main types.Then,DBN-Softmax classifiers are introduced to extract features and train the classifica-tion model respectively,building a remote barrier localization model.Finally,failure types and telemetry informa-tion are used to precisely locate the faults.Engineering examples have shown effective validation of the method,in-cluding its merits of short computation time and high localization accuracy.
维普
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