DocumentCode :
3591495
Title :
SVM based zonal setting of Mho relay for transmission line having TCSC
Author :
Maori, Ashok ; Tripathy, Manoj ; Gupta, H.O.
Author_Institution :
Dept. of Electr. Eng., IIT Roorkee, Roorkee, India
fYear :
2014
Firstpage :
1
Lastpage :
5
Abstract :
Presence of series FACTS (Flexible Alternating Current Transmission System) device significantly affects 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 Thyristor Controlled Series Capacitor (TCSC). 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 220 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.
Keywords :
genetic algorithms; power capacitors; power transmission lines; relay protection; support vector machines; thyristor convertors; EMTP software; Mho relay; PSCAD software; SVM based zonal setting; SVM parameter; TCSC; genetic algorithm; impedance relay; modified apparent impedance; support vector machine; thyristor controlled series capacitor; transmission line; voltage 220 kV; zone identification; Genetic algorithms; Impedance; Power capacitors; Power transmission lines; Relays; Support vector machines; Thyristors; Genetic Algorithm; Mho Relay; Support Vector Machine; TCSC; Transmission line protection; Zone Setting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power India International Conference (PIICON), 2014 6th IEEE
Print_ISBN :
978-1-4799-6041-5
Type :
conf
DOI :
10.1109/34084POWERI.2014.7117708
Filename :
7117708
Link To Document :
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