Traditional electromechanical distance relays used for protection of transmission lines are prone to effects of fault resistance. Each fault condition corresponds to a particular pattern. So use of a pattern recognizer can improve the relay performance. This paper presents a new approach, known as artificial neural network (ANN) to overcome the effect of fault resistance on relay mal-operation. This method is based on pattern recognition and classification. The scheme utilizes the magnitudes of resistance and reactance as inputs. Once trained with a large number of patterns corresponding to various conditions, it can classify unknown patterns. It also has the advantage that it can adapt itself with the changing network conditions.
Vaidya, Anil and Venikar, Prasad A.
"Distance Protection Scheme For Protection of Long Transmission Line Considering the Effect of Fault Resistance By Using the ANN Approach,"
International Journal of Electronics and Electical Engineering: Vol. 1:
4, Article 2.
Available at: https://www.interscience.in/ijeee/vol1/iss4/2