Degree Name

Doctor of Philosophy


School of Electrical, Computer and Telecommunications Engineering


Amongst all power quality (PQ) problems, voltage sags/dips are the most common occurring disturbances, which can cause significant failure in the customer equipment. This thesis contributes to three areas of voltage sag analysis: First, it contributes to the development of new innovative analytical formulae for the predictive analysis of the single event characteristics (SEC) of a voltage sag based on the system electrical parameter. Second, it contributes to the development of a novel time-frequency domain signal-processing tool for the automatic detection, analysis, and mitigation of time-varying PQ disturbances (PQDs). The developed method is referred to as the automatic segmented Hilbert-Huang transform (SHHT). Third, it contributes to the development of a cost-effective mitigation scheme for voltage sag events with and without the presence of distributed generations (DG)/renewable energy resources (RES).

This thesis is unavailable until Saturday, April 16, 2022



Unless otherwise indicated, the views expressed in this thesis are those of the author and do not necessarily represent the views of the University of Wollongong.