Improved Transmission Line Fault Location Using Automated Correlation of Big Data from Lightning Strikes and Fault-Induced Traveling Waves Conference Paper

abstract

• © 2015 IEEE. This paper investigates how correlating cross-domain big data from the lightning surge and the traveling wave measurements in time and space can be used to improve fault location accuracy. The integration and correlation of big data in time and space using Global Positioning System and Geographic Information System respectively improves knowledge about faults on transmission lines caused by lightning. The benefits of proposed method are: a) the decision process can be accelerated through automation, and b) better accuracy of fault location result can be provided due to the data correlation. The benefit is a more efficient outage management procedure.

name of conference

• 2015 48th Hawaii International Conference on System Sciences

authors

• Kezunovic, Mladen

published proceedings

• 2015 48TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS)

author list (cited authors)

• Kezunovic, M., Djokic, T., Chen, P., & Malbasa, V.

citation count

• 8

complete list of authors

• Kezunovic, Mladen||Dokic, Tatjana||Chen, Po-Chen||Malbasa, Vuk

editor list (cited editors)

• Bui, T. X., & Jr, R..

publication date

• January 2015

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings of the Annual Hawaii International Conference on System Sciences  Journal

keywords

• 40 Engineering
• 46 Information And Computing Sciences
• 4605 Data Management And Data Science

Digital Object Identifier (DOI)

• 10.1109/HICSS.2015.328
• 10.1109/hicss.2015.328

International Standard Book Number (ISBN) 13

• 9781479973675

start page

• 2719

end page

• 2728

volume

• 2015-March

URL

• http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7068092