Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/5489
Title: A review of methodologies for fault detection and location in distribution power networks
Authors: Adewole, Adeyemi Charles 
Raynitchka, Tzoneva 
Keywords: Electric power utilities;Power system distribution network;Fault detection;Abnormal Event Management (AEM)
Issue Date: 2011
Publisher: International Review on Modelling and Simulations
Abstract: The widespread deregulation and restructuring of electric power utilities throughout the world and the consequent increase in competition amongst utility companies has brought about the desire for improved economic efficiency of electric utilities and the provision of better service to energy consumers. Thus, there is a growing research interest in power system distribution network fault detection and diagnostic techniques. Transmission and distribution lines are subject to faults caused by lightning, storm, snow, insulation breakdown, birds, etc. Fault detection and diagnosis is a central component of Abnormal Event Management (AEM). The early detection and diagnosis of these faults can expedite the restoration and return to service of this lines. This paper provides a comprehensive review of research work on the various methodologies in power system distribution network fault detection, fault classification, faulted section identification, and fault location.
URI: http://hdl.handle.net/11189/5489
https://www.researchgate.net/publication/286147326_A_review_of_methodologies_for_fault_detection_and_location_in_distribution_power_networks
Appears in Collections:Eng - Journal articles (not DHET subsidised)

Files in This Item:
File Description SizeFormat 
contact_repository_manager.pdf84.54 kBAdobe PDFView/Open
Show full item record

Page view(s)

18
Last Week
0
Last month
4
checked on Jul 17, 2018

Download(s)

6
checked on Jul 17, 2018

Google ScholarTM

Check


This item is licensed under a Creative Commons License Creative Commons