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

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.