Publication Type : Journal Article
Thematic Areas : Center for Computational Engineering and Networking (CEN)
Publisher : Research India Publications
Source : International Journal of Applied Engineering Research, Volume 10, Issue 55, Number 55, Research India Publications, p.3298-3301 (2015)
Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-84942310996&partnerID=40&md5=52eee74caef8986f1728944c9fac29ed
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electrical and Electronics, Electronics and Communication
Year : 2015
Abstract : Transformers, which are critical and expensive components of a power system, require suitable measures for their protection to ensure reliable operation. Identification between in rush current and internal fault current is important in the design of transformer protection relay. Often nuisance tripping of protection relay occurs when inrush current flows in the system. Identification methods based on higher second harmonic content present in inrush current has limitations in its application. This work investigates the scope of classification method based on Variation Mode Decomposition (VMD) and Support Vector Machine (SVM) in distinguishing internal fault current and inrush current in a power transformer. Validation of this method is done using synthetic data from MATLAB/SIMULINK. Choice of various kernel functions for SVM for better accuracy is also investigated. © Research India Publications.
Cite this Research Publication : P. Maya, Dhivya, N., Kartikga, C., and Dr. Soman K. P., “Discrimination between inrush and internal fault currents in a power transformer using Variational Mode Decomposition Method”, International Journal of Applied Engineering Research, vol. 10, no. 55, pp. 3298-3301, 2015.
