Accurate and reliable fault diagnosis is very important for improving relay protection performance and ensuring safe and stable operation of powersystem. This paper presents a fault diagnosis method for distributed p...
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ISBN:
(纸本)9781665440899
Accurate and reliable fault diagnosis is very important for improving relay protection performance and ensuring safe and stable operation of powersystem. This paper presents a fault diagnosis method for distributedpowerdistribution network based on convolutional neural network. When fault occurs in the distribution network, FTU acquisition unit is used to sample the fault current and voltage signals of the distribution network. Hilbert-Huang transform is applied to the fault signal, and a two-dimensional time-frequency energy matrix is constructed. Then the time-frequency energy matrix is input into the convolutional neural network to realize the fault type identification of transmission lines in the distribution network with distributedpower supply. The simulation results show that the model in this paper improves the speed of fault diagnosis, makes the model more robust, and can determine and judge fault types more accurately and quickly.
Accurate and reliable fault diagnosis is very important for improving relay protection performance and ensuring safe and stable operation of power *** paper presents a fault diagnosis method for distributedpower dist...
详细信息
Accurate and reliable fault diagnosis is very important for improving relay protection performance and ensuring safe and stable operation of power *** paper presents a fault diagnosis method for distributedpowerdistribution network based on convolutional neural *** fault occurs in the distribution network,FTU acquisition unit is used to sample the fault current and voltage signals of the distribution ***-Huang transform is applied to the fault signal,and a two-dimensional time-frequency energy matrix is *** the time-frequency energy matrix is input into the convolutional neural network to realize the fault type identification of transmission lines in the distribution network with distributedpower *** simulation results show that the model in this paper improves the speed of fault diagnosis,makes the model more robust,and can determine and judge fault types more accurately and quickly.
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