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Distance Protection Settings Based Artificial Neural Network in Presence of TCSR on Electrical Transmission Line
Author(s) -
Mohamed Zellagui,
Abdelaziz Chaghi
Publication year - 2012
Publication title -
international journal of intelligent systems and applications
Language(s) - English
Resource type - Journals
eISSN - 2074-9058
pISSN - 2074-904X
DOI - 10.5815/ijisa.2012.12.10
Subject(s) - transmission line , computer science , relay , electric power transmission , maximum power transfer theorem , voltage , electrical engineering , electric power system , line (geometry) , transmission (telecommunications) , electrical impedance , power transmission , thyristor , circuit breaker , transmission system , power (physics) , telecommunications , engineering , mathematics , physics , geometry , quantum mechanics
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.

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