Minimal radial basis function network based bus protection system using OCT

Authors:
Zahra Moravej
Affiliations:
Moshanir Co., Protection & Control Division, Tehran, Iran
Venue:
ISTASC'05 Proceedings of the 5th WSEAS/IASME International Conference on Systems Theory and Scientific Computation
Year:
2005

Citing 1
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Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm

IEEE Transactions on Neural Networks

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Abstract

This paper presented the Minimal Radial Basis Function Network (MRBFN) approach busbar protection. The Optical Current Transducer (OCT) is used to solve the magnetic saturation so as to improve the reliability of the system. Performance of this model is compared with Feed Forward Back Propagation Neural Network (FFBP). The proposed model is more accurate in prediction with few numbers of hidden neurons. Performance analysis shows its distinguishing advantages over the traditional busbar protection.