Title :
Driving a novel phasors formula for a Digital MHO Relay Algorithm for high voltage transmission line based on neural networks
Author :
Mohamad, Auday A. H. ; Osman, Mohamed
Author_Institution :
Fac. of Eng. Sci., Omdurman Islamic Univ., Khartoum, Sudan
Abstract :
A modified Digital MHO Relay Algorithm is present in this research. Phasors of voltage are used with no need to current signals. These phasors were combined with adaptive resonance theory (ART) neural network to eliminate the use of current phasors and then to current transformer. Artificial neural networks and fuzzy logic are used to achieve a high speed, more reliable and high accuracy fault detection for a high voltage transmission line. The neural network is trained to recognize faults on basis of a specific relay characteristic.
Keywords :
ART neural nets; current transformers; fuzzy logic; power engineering computing; power transmission faults; power transmission lines; power transmission protection; relay protection; ART neural network; adaptive resonance theory neural network; artificial neural networks; current transformer; fault detection; fuzzy logic system; high voltage transmission line; modified digital MHO relay algorithm; phasor formula; Impedance; Neural networks; Power transmission lines; Protective relaying; Prototypes; Zirconium; ART Neural Networks; Fuzzy Logic; Intelligence Protection; MHO Distance Relay; Protective Relay;
Conference_Titel :
Computing, Electrical and Electronics Engineering (ICCEEE), 2013 International Conference on
Conference_Location :
Khartoum
Print_ISBN :
978-1-4673-6231-3
DOI :
10.1109/ICCEEE.2013.6633918