Turkish Journal of Electrical Engineering and Computer Sciences
DOI
-
Abstract
This paper presents an artificial neural network (ANN) based scheme for fault identification in power transformer protection. The proposed scheme is featured by the application of ANN to identifying system patterns, the unique choice of harmonics of positive sequence differential currents as ANN inputs, the effective handling of current transformer (CT) saturation with an ANN based approach, and the consideration of tap changer position for correcting secondary CT current. Performance of the proposed scheme is studied for a wide variety of operating conditions using data generated from simulation. The results indicate that the proposed scheme provides a fast and sensitive approach for identifying internal faults and is secure against CT saturation and transformer tap changer operation.
Keywords
Differential protection, power transformer, current transformer saturation, artificial neural network
First Page
351
Last Page
368
Recommended Citation
ZADEH, HASSAN KHORASHADI and LI, ZUYI (2007) "A Sensitive ANN Based Differential Relay for Transformer Protection with Security against CT Saturation and Tap Changer Operation," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 15: No. 3, Article 4. Available at: https://journals.tubitak.gov.tr/elektrik/vol15/iss3/4
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Computer Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons
