Title :
ANN based technique for enhancement of distance relay performance against open-conductor in HV transmission lines
Author :
Gilany, M. ; Al-Kandari, Ahmed ; Hassan, Bahaa
Author_Institution :
Dept. of Electr. Eng., Coll. of Technol. Studies, Al-Shaa´´b, Kuwait
Abstract :
This paper presents a novel ANN based technique for improving the performance of distance relays against open circuit faults in transmission networks. The results obtained show that a distance relay with the proposed scheme will not only be able to detect the open conductor condition in HVTL but also to locate the place of this fault regardless the value of the pre-fault current loading. Detailed mathematical formulation of the proposed technique is presented. The ANN used in the proposed scheme doesn´t impose large time delay to the operation time of the distance relay as it is of simple configuration and trained off-line. There is no need for especial communication schemes as the existing media could work properly for the needs of the proposed technique.
Keywords :
artificial intelligence; conductors (electric); fault location; neural nets; power engineering computing; power transmission faults; power transmission lines; relay protection; ANN based technique; HV transmission lines; artificial neural network; distance relay enhancement; fault location; open circuit faults; open conductor; transmission networks; Circuit faults; Conductors; Delay effects; Earth; Electrical fault detection; Power transmission lines; Protection; Protective relaying; Transmission lines; Voltage; ANN; Distance relay; Open conductor; Transmission networks; fault location;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451527