Title :
Neural network based overcurrent voltage controlled protection system in large electrical networks
Author :
Mostafa, Yasser G. ; Shafik Aly, M.
Author_Institution :
Electr. & Comput. Control Dept., Arab Acad. for Sci. & Technol. (AAST), Cairo, Egypt
Abstract :
Generation stations are considered extremely vital part of power system. Overcurrent voltage controlled relays are extensively used as backup protection of generators. Coordination between generator overcurrent voltage controlled relays and transmission line directional overcurrent relays represents a tedious task in power system protection as it depends heavily on network topology and system parameters. Mis-coordination is normally practiced in this situation. In this paper an intelligent modular protection system is proposed for relays parameter setting to assure proper coordination between such relays. The proposed system is based on artificial neural networks. The developed system interacts dynamically with protected network taking into consideration different loading and operating schemes. The system is applied and tested on large unified electrical power network. Good results are obtained to assure precise coordination in different fault type, location and network topologies.
Keywords :
neural nets; overcurrent protection; power generation protection; relay protection; artificial neural networks; backup protection; generation stations; intelligent modular protection system; overcurrent voltage controlled protection; power system protection; transmission line directional overcurrent relays; Control systems; Network topology; Neural networks; Power generation; Power system protection; Power system relaying; Power transmission lines; Protective relaying; Standby generators; Voltage control; Intelligent systems; and protective relaying; neural networks; overcurrent protection;
Conference_Titel :
PowerTech, 2009 IEEE Bucharest
Conference_Location :
Bucharest
Print_ISBN :
978-1-4244-2234-0
Electronic_ISBN :
978-1-4244-2235-7
DOI :
10.1109/PTC.2009.5281865