Title :
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
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;
Conference_Titel :
System Sciences (HICSS), 2015 48th Hawaii International Conference on
Conference_Location :
Kauai, HI
DOI :
10.1109/HICSS.2015.328
