Skip navigation
Please use this identifier to cite or link to this item:
Title: A new efficient algorithm to detect Current Transformer saturation
Authors: Kumar K.
Kumbhar, Ganesh Balu
Mahajan S.
Published in: Proceedings of IEEE Power and Energy Society General Meeting
Abstract: This paper presents an algorithm to precisely detect the saturation of Current Transformers (CTs). The algorithm is based on first difference of magnitudes of Lissajous Curve. These Lissajous curves are generated using secondary current signal and its first derivative. PSCAD was used to generate secondary current signals for various practical cases of fault currents and MATLAB was used to implement the proposed algorithm. The algorithm is tested for various cases of severe and mild CT saturation. Moreover, the effects of various factors, such as remnant magnetic flux density, noise and burden power factor are studied. Test results reflect that the proposed algorithm efficiently detect the start and end instants of CT Saturation for almost all cases. © 2016 IEEE.
Citation: Proceedings of IEEE Power and Energy Society General Meeting, (2016)
Issue Date: 2016
Publisher: IEEE Computer Society
Keywords: Adaptive threshold
Current transformer (CT)
Lissajous Curve
Saturation detection
ISBN: 9.78151E+12
ISSN: 19449925
Author Scopus IDs: 57194221330
Author Affiliations: Kumar, K., Dept. Electrical Engg., Indian Institute of Technology-Roorkee, Roorkee, India
Kumbhar, G.B., Dept. Electrical Engg., Indian Institute of Technology-Roorkee, Roorkee, India
Mahajan, S., Dept. of Electrical and Computer Engg., Tennessee Tech UniversityTN, United States
Appears in Collections:Conference Publications [EE]

Files in This Item:
There are no files associated with this item.
Show full item record

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.