Selection of Optimal Fault Location Algorithm Conference Paper

abstract

• Once fault event in power system occurs different Intelligent Electronic Devices (IEDs) automatically recognize the fault as abnormality. With technological development many IEDs available today are capable of recording, executing analysis automatically and communicating results to different locations. Although recording capabilities are drastically increased applications that would fully utilize recorded data are still not available. In this paper, automated fault location (FL) procedure and usage of different intelligent algorithms is presented. Data is retrieved from various data sources, processed using expert system, neural networks, and genetic algorithm in order to provide data for optimal FL algorithm selection. 2008 IEEE.

name of conference

• 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century

authors

• Kezunovic, Mladen

published proceedings

• 2008 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-11

author list (cited authors)

• Kezunovic, M., & Knezev, M.

citation count

• 2

complete list of authors

• Kezunovic, M||Knezev, M

publication date

• July 2008

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Expert System
• Fault Location
• Genetic Algorithm
• Intelligent Electronic Device
• Neural Network
• Power System Monitoring
• Sampling Synchronization
• Substation Measurement

Digital Object Identifier (DOI)

• 10.1109/pes.2008.4596775

International Standard Book Number (ISBN) 13

• 978-1-4244-1905-0

start page

• 1272

end page

• 1276

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fpes.2008.4596775