DocumentCode
2377690
Title
ANN Relays Used to Determine Fault Locations on Shipboard Electrical Distribution Systems
Author
William, E.J. ; Manic, M. ; Johnson, B.K.
Author_Institution
Univ. of Idaho, Moscow
fYear
2007
fDate
Sept. 30 2007-Oct. 2 2007
Firstpage
143
Lastpage
147
Abstract
This paper observes an artificial neural network algorithm (ANN) distance relay solution. It traces the location of the fault on a shipboard power system. The United States Naval Surface Warfare Center has been exploring methods for increasing the reliability for shipboard electrical distribution systems. The electrical distribution system is protected when faults are located and isolated as quickly as possible. The goal is to increase the availability of shipboard electrical distribution systems by locating and isolating faults. Thus, introducing an ANN relay to locate the fault occurrence on the electrical distribution system. Maintaining the integrity of a shipboard power system in the event of multiple simultaneous electrical faults is necessary to achieve continuity of service to all loads under adverse battle conditions.
Keywords
fault location; neural nets; power distribution faults; power distribution protection; relay protection; ships; ANN relays; artificial neural network algorithm; distance relay solution; electrical faults; fault locations; shipboard electrical distribution systems; shipboard power system; Artificial neural networks; Fault location; PSCAD; Power system faults; Power system protection; Power system relaying; Power system reliability; Protective relaying; Relays; Voltage; ART neural networks; Algorithms; Fault currents; Fault diagnosis; Fault location; Power system; Power system faults; Power system maintenance; Power system modeling; Power transmission; Power transmission lines; Power transmission protection; Protection; Protective relaying; stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Symposium, 2007. NAPS '07. 39th North American
Conference_Location
Las Cruces, NM
Print_ISBN
978-1-4244-1726-1
Electronic_ISBN
978-1-4244-1726-1
Type
conf
DOI
10.1109/NAPS.2007.4402301
Filename
4402301
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