Physical Implementation and Testing of a Transmission Line Fault Location Algorithm
Date of Award
Master of Science in Engineering
Electrical and Computer Engineering
Pablo Gómez, Ph.D.
Richard T. Meyer, Ph.D.
Damon A. Miller, Ph.D.
Algorithm, fault location, prototype, transmission line
Masters Thesis-Abstract Only
Restricted to Campus until
Fault detection and location is crucial in any power system. In order to improve system reliability, reduce outage time and speed-up system restoration from a fault, fault detection and location must be prompt and accurate. Traditional methods of pinpointing faults can be complex, costly, unreliable, and can even result in unacceptably large fault.
This thesis aims to develop and evaluate a physical proof-of-concept for transmission line fault location technology based on a novel methodology with high accuracy and unique visualization capabilities. The proposed prototype utilizes the open-source tools Raspberry Pi 4 and Python computer language. This prototype model is intended as a step forward in bringing the proposed technology to the market and allowing functional demonstration to potential stakeholders, such as utility operators and measurement device manufactures.
The developed prototype produces very accurate results, with highest relative error of 0.82% for 500 Ω at a fault location near the end of line a 49 km, This is an accurate result for such a high impedance fault near the end of the line, which are very hard to locate by current methods.
Alshagarin, Shadi Mohammad, "Physical Implementation and Testing of a Transmission Line Fault Location Algorithm" (2022). Masters Theses. 5346.