Year

2020

Degree Name

Doctor of Philosophy

Department

School of Electrical, Computer and Telecommunications Engineering

Abstract

In recent decades, many distributed generators have been installed in the electricity distribution networks, where most of them are renewable energy (RE) systems, such as solar photovoltaic (PV) and wind energy, which are intermittent in nature. Meanwhile, on the demand side, increasing electric vehicles (EVs) are increasingly being charged from the distribution networks at uncertain times in the day. Furthermore, the loads are continuously being switched in and out of the system. In this scenario, the electric power systems are experiencing the highest levels of uncertainty in both the generation and the load demands. The uncertainties in both power generation and load demands can produce severe challenges to the power system that can lead to brownout and blackout, particularly during peak demand. Some of the main challenges that need to be tackled are the intermittent power injections from the renewable energies and the potential of power unbalance in the electrical grid due to the mismatches in the power generation and load demands. Unfortunately, the response in the electricity system to tackle all the above issues is not at the same pace with the increasing integration of the intermittent RE and EV.

The work reported in this PhD thesis aims to provide solutions to the above-mentioned significant challenges related to the increasing RE and EV integration, namely the mitigation of the intermittency of the RE outputs, and to ensure that a power balance is achieved between the generation and the consumption plus system losses.

FoR codes (2008)

090201 Automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels), 090205 Hybrid Vehicles and Powertrains, 090607 Power and Energy Systems Engineering (excl. Renewable Power), 090608 Renewable Power and Energy Systems Engineering (excl. Solar Cells)

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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.