NDLI: Neural network based overcurrent voltage controlled protection system in large electrical networks

Content Provider	IEEE Xplore Digital Library
Author	Mostafa, Y.G. Shafik Aly, M.
Copyright Year	2009
Description	Author affiliation: Electrical and Computer Control Department, Arab Academy for Science and Technology (AAST), Cairo, Egypt (Mostafa, Y.G.) \|\| Iskraemeco Energy Measurement, Heliopolis, Cairo, Egypt (Shafik Aly, M.)
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.
Starting Page	1
Ending Page	6
File Size	1006947
Page Count	6
File Format	PDF
ISBN	9781424422340
DOI	10.1109/PTC.2009.5281865
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-28
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Voltage control Control systems Power system protection Power system relaying Protective relaying Power generation Network topology Standby generators Power transmission lines and protective relaying Intelligent systems neural networks overcurrent protection
Content Type	Text
Resource Type	Article

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