NDLI: Sparse S-transform for location of faults on transmission lines operating with unified power flow controller

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Sparse S-transform for location of faults on transmission lines operating with unified power flow controller

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Sparse S-transform for location of faults on transmission lines operating with unified power flow controller

Content Provider	IET Digital Library
Author	Tripathy, Loknath Samantaray, Subhransu Ranjan Dash, Pradipta Kishore
Abstract	This study presents a new fault location algorithm for a transmission line operating with a unified power flow controller (UPFC). The proposed algorithm is based on a new matrix version of the conventional S-transform called sparse S-transform (SST), using selected frequency components to increase the speed of the computation significantly. A variety of faults are initiated before and after the location of UPFC on the transmission line using MATLAB/SIMULINK platform. Further, the impedance trajectories and fault location are estimated using SST with significant accuracies. The computational speed of the SST is almost 30 times faster than the conventional discrete S-transform which makes it a suitable candidate for real-time application in digital relaying.
Starting Page	2108
Ending Page	2116
Page Count	9
ISSN	17518687
Volume Number	9
e-ISSN	17518695
Issue Number	Issue 15, Nov (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/9/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2014.1120
Journal	IET Generation, Transmission & Distribution
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Digital Relaying Fault Location Fault Location Algorithm Impedance Trajectory Integral Transforms Load Flow Control Power System Control Power System Protection Power Transmission Cables Power Transmission Line S Matrix Theory Selected Frequency Component Sparse Matrix Sparse S-transform SST Transmission Line Unified Power Flow Controller UPFC
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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