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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7707
Title: Power transformer differential protection based on optimal probabilistic neural network
Authors: Tripathy, Manoj
Maheshwari R.P.
Verma H.K.
Published in: IEEE Transactions on Power Delivery
Abstract: In this paper, the optimal probabilistic neural network (PNN) is proposed as the core classifier to discriminate between the magnetizing inrush and the internal fault of a power transformer. The particle swarm optimization is used to obtain an optimal smoothing factor of PNN which is a crucial parameter for PNN. An algorithm has been developed around the theme of the conventional differential protection of the transformer. It makes use of the ratio of voltage-to-frequency and amplitude of differential current for the determination of operating condition of the transformer. The performance of the proposed heteroscedastic-type PNN is investigated with the conventional homoscedastic-type PNN, feedforward back propagation (FFBP) neural network, and the conventional harmonic restraint method. To evaluate the developed algorithm, relaying signals for various operating condition of the transformer, including internal and external faults, are obtained by modeling the transformer in PSCAD/EMTDC. The protection algorithm is implemented by using MATLAB. © 2009 IEEE.
Citation: IEEE Transactions on Power Delivery (2010), 25(1): 102-112
URI: https://doi.org/10.1109/TPWRD.2009.2028800
http://repository.iitr.ac.in/handle/123456789/7707
Issue Date: 2010
Keywords: Artificial neural network (ANN)
Digital differential power transformer protection
Particle swarm optimization
Probabilistic neural network
Protective relaying
ISSN: 8858977
Author Scopus IDs: 16205441100
8941720600
57204684351
Author Affiliations: Tripathy, M., Department of Electrical Engineering, Motilal Nehru National Institute of Technology Allahabad, Allahabad 211004, India
Maheshwari, R.P., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, India
Verma, H.K., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, India
Corresponding Author: Tripathy, M.; Department of Electrical Engineering, Motilal Nehru National Institute of Technology Allahabad, Allahabad 211004, India; email: manoj_tripathy1@rediffmail.com
Appears in Collections:Journal Publications [EE]

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