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

Author

Kezunovic, Mladen ; Djokic, Tatjana ; Po-Chen Chen ; Malbasa, Vuk

fYear

2015

fDate

5-8 Jan. 2015

Firstpage

2719

Lastpage

2728

Abstract

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.

Keywords

Big Data; Global Positioning System; fault location; geographic information systems; knowledge management; lightning protection; power engineering computing; power transmission faults; power transmission lines; power transmission reliability; surge protection; Big Data integration; Global Positioning System; automated cross-domain Big Data correlation; decision process; fault-induced traveling wave measurement; geographic information system; knowledge improvement; lightning strikes; lightning surge; outage management procedure; transmission line fault location accuracy improvement; Accuracy; Big data; Fault location; Global Positioning System; Lightning; Power system transients; Power transmission lines; Big Data; Faul Location; Geographical Information Systems; Global positioning System; Lightning strikes;

fLanguage

English

Publisher

ieee

Conference_Titel

System Sciences (HICSS), 2015 48th Hawaii International Conference on

Conference_Location

Kauai, HI

ISSN

1530-1605

Type

conf

DOI

10.1109/HICSS.2015.328

Filename

7070143