Distance Protection Settings Based Artificial Neural Network in Presence of TCSR on Electrical Transmission Line

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Mohamed Zellagui 1,* Abdelaziz Chaghi 1

1. LSP-IE Research Laboratory, Faculty of Technology, Department of Electrical Engineering, University of Batna Campus CUB, Street Med El Hadi Boukhlouf, Batna, 05000, Algeria

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2012.12.10

Received: 3 Feb. 2012 / Revised: 11 Jun. 2012 / Accepted: 27 Aug. 2012 / Published: 8 Nov. 2012

Index Terms

Distance Protection, TCSR, Injected Reactance, Artificial Neural Network


This research paper study the performance of distance relays setting based analytic (AM) and artificial neural network (ANN) method for a 400 kV high voltage transmission line in Eastern Algerian transmission networks at Sonelgaz Group compensated by series Flexible AC Transmission System (FACTS) i.e. Thyristor Controlled Series Reactor (TCSR) connected at midpoint of the electrical transmission line. The facts are used for controlling transmission voltage, power flow, reactive power, and damping of power system oscillations in high power transfer levels. This paper studies the effects of TCSR insertion on the total impedance of a transmission line protected by distance relay and the modified setting zone protection in capacitive and inductive boost mode for three zones. Two different techniques have been investigated in order to prevent circuit breaker nuisance tripping to improve the performances of the distance relay protection.

Cite This Paper

Mohamed Zellagui, Abdelaziz Chaghi, "Distance Protection Settings Based Artificial Neural Network in Presence of TCSR on Electrical Transmission Line", International Journal of Intelligent Systems and Applications(IJISA), vol.4, no.12, pp.75-85, 2012. DOI:10.5815/ijisa.2012.12.10


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