Year

2020

Degree Name

Doctor of Philosophy

Department

School of Electrical, Computer and Telecommunications Engineering

Abstract

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

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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.