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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/64

Title: A novel fuzzy neural network based distance relaying scheme
Authors: Dash, P K
Pradhan, A K
Panda, G
Keywords: backpropagation
fuzzy neural nets
power system faults
Issue Date: Jul-2000
Publisher: IEEE
Citation: IEEE Transactions on Power Delivery, Vol 15, Iss 3, P 902-907
Abstract: This paper presents a new approach to distance relaying using fuzzy neural network (FNM). The FNN can be viewed either as a fuzzy system, a neural network or fuzzy neural network. The structure is seen as a neural network for training and a fuzzy viewpoint is utilized to gain insight into the system and to simplify the model. The number of rules is determined by the data itself and therefore a smaller number of rules is produced. The network is trained with the backpropagation algorithm. A pruning strategy is applied to eliminate the redundant rules and fuzzification neurons, consequently a compact structure is achieved. The classification and location tasks are accomplished by using different FNN's. Once the fault type is identified by the FNN classifier the selected fault locating FNN estimates the location of the fault accurately. Normalized peaks of fundamental voltage and current waveforms are considered as inputs to all the networks and an additional input derived from the DC com...
Description: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
URI: http://hdl.handle.net/2080/64
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