Online Detection of Faults in Transmission Lines

Abstract

Power transmission lines are the heart of electric power system. They are exposed to several types of faults affecting the user's services, so it is very important to protect the power system precisely, rapidly and reliably. Fault classification and localization problems can be solved more easily with the introduction of modern machine learning approaches and supervised training methods. In this work, two main models are created and studied in PSCAD software for high voltage and medium voltage networks with three specific distances at several types of faults using multiple run method. The obtained results reveal the high potential and the efficiency of the proposed method in transmission line fault detection.