High speed transmission system directional protection using an Elman network

Detection of the direction of a fault on a transmission line is essential to the proper performance of a power system. It would be desirable to develop a high speed and accurate approach to determine the fault direction for different power system conditions. To classify forward and backward faults on a given line, a neural network's abilities in pattern recognition and classification could be considered as a solution. To demonstrate the applicability of this solution, neural network technique is employed and a novel Elman recurrent network is designed and trained. Details of the design procedure and the results of performance studies with the proposed network are given and analysed in the paper. System simulation studies show that the proposed approach is able to detect the direction of a fault on a transmission line rapidly and correctly. It is suitable to realize a very fast transmission line directional comparison protection scheme.

[1]  Oscar L. Chacón,et al.  Neural network approach to fault detection in electric power systems , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

[2]  Frank Fallside,et al.  A recurrent error propagation network speech recognition system , 1991 .

[3]  Jeffrey L. Elman,et al.  Finding Structure in Time , 1990, Cogn. Sci..

[4]  P. G. McLaren,et al.  AN ARTIFICIAL NEURAL NETWORK APPLICATION TO DISTANCE PROTECTION , 1996 .

[5]  M. Sanaye-Pasand,et al.  Power transmission lines fault direction estimation using artificial neural networks , 1996, Proceedings of 1996 Canadian Conference on Electrical and Computer Engineering.

[6]  G. W. Swift,et al.  An artificial neural network application to distance protection [of power systems] , 1996, Proceedings of International Conference on Intelligent System Application to Power Systems.

[7]  Ronald J. Williams,et al.  A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.

[8]  A. T. Johns,et al.  Artificial neural-network-based protection scheme for controllable series-compensated EHV transmission lines , 1996 .

[9]  Geoffrey E. Hinton,et al.  Phoneme recognition using time-delay neural networks , 1989, IEEE Trans. Acoust. Speech Signal Process..

[10]  M. S. Sachdev,et al.  Design, implementation and testing of an artificial neural network based fault direction discriminator for protecting transmission lines , 1995 .

[11]  Om P. Malik,et al.  Amplitude comparator based algorithm for directional comparison protection of transmission lines , 1989 .

[12]  Eric A. Wan,et al.  Temporal backpropagation for FIR neural networks , 1990, 1990 IJCNN International Joint Conference on Neural Networks.