International Journal of Electronics and Electical Engineering


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.





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