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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7862
Title: SVM based zonal setting of Mho relay for shunt compensated transmission line
Authors: Manori A.
Tripathy, Manoj
Gupta H.O.
Published in: International Journal of Electrical Power and Energy Systems
Abstract: Presence of shunt FACTS (Flexible Alternating Current Transmission System) device significantly affect the performance of protection system and may create security and reliability issues. This paper introduces a novel approach for zone identification in transmission line employing shunt FACTS devices such as Static Var Compensator (SVC) and Static Synchronous Compensator (STATCOM). The technique depends on the modified apparent impedance seen by the impedance relay for all possible operating conditions. In this technique the Support Vector Machine (SVM) is used for discriminating faulty zone (zone 1 or zone 2). In addition an optimization technique viz. Genetic Algorithm (GA) is used to optimize SVM parameters. A typical 230 kV system was simulated in PSCAD/EMTP software and the results show that the proposed scheme is secure, accurate and reliable under the wide variation in power system parameters like load angle, fault resistance, fault location, inception angle and compensation level. © 2015 Elsevier Ltd. All rights reserved.
Citation: International Journal of Electrical Power and Energy Systems (2016), 78(): 422-428
URI: https://doi.org/10.1016/j.ijepes.2015.12.010
http://repository.iitr.ac.in/handle/123456789/7862
Issue Date: 2016
Publisher: Elsevier Ltd
Keywords: Genetic Algorithm
Mho relay
Shunt FACTS device
Support Vector Machine
Transmission line protection
Zone setting
ISSN: 1420615
Author Scopus IDs: 56418631700
16205441100
24530497600
Author Affiliations: Manori, A., Indian Institute of Technology Roorkee, Roorkee, 247667, India
Tripathy, M., Indian Institute of Technology Roorkee, Roorkee, 247667, India
Gupta, H.O., JP Institute of Information Technology, Sector-128 Jaypee Wish Town Village, Noida, Uttar Pradesh, 201304, India
Corresponding Author: Manori, A.; Indian Institute of Technology RoorkeeIndia; email: ashok12manori@gmail.com
Appears in Collections:Journal Publications [EE]

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