Date of Award
Master of Science in Engineering
Electrical and Computer Engineering
Dr. Pablo Gomez
Dr. Johnson Asumadu
Dr. Ralph Tanner
Masters Thesis-Open Access
Power transformers are one of the most important components in electrical power systems. During their lifetime they are exposed to various electrical faults which are originated from transient overvoltages, electromagnetic forces due to over-currents, ageing, etc.
Internal winding faults are among the most common causes of transformer failure. Once a fault occurs, a fast an efficient method for its detection and location is required to avoid further delays in the network operation. This paper introduces a simple method for the location of internal winding faults. This method is based on time domain terminal measurements of wave propagation along the winding. By means of low-cost laboratory components (a low-voltage DC source and an oscilloscope), different types of faults in layer–type windings can be detected and located with high accuracy. A frequency-domain distributed-parameter winding model is used to predict the transient response of the winding subjected to different types of faults. FEM simulations are used to compute the model parameters. A test case is presented to demonstrate the efficacy of the fault location method.
Abed-Alkareem Alzekri, Samir Yehya, "Internal Fault Location in Transformer Windings" (2016). Master's Theses. 682.