Electric Vehicle Infrastructure Planning and Charging Scheduling Based on Coupled Transportation and Distribution Networks Considering Environmental Impacts

Abstract

During the past few decades, environmental protection and climate change have become a growing concern for human society. Numerous studies cite the transportation sector and the power sector as the two largest sources of pollution and carbon emissions. To address environmental issues and achieve sustainable development for human society, electric vehicles (EVs) have emerged as an ideal mode of transportation and an alternative to conventional vehicles. To promote the further development and popularisation of EVs in higher efficiency, higher positive environmental effects, and higher reliability, much of the foreseen attention will focus on charging infrastructure planning and charging scheduling based on coupled transportation and power networks. The focus of the thesis is on charging infrastructure planning and charging scheduling under coupled transportation and power distribution networks, which consider environmental impacts and thereby promote the diffusion of EVs economically and environmentally. The first part of the thesis presents the changes in emissions from the adoption and charging of EVs as well as the classification of emissions from a traffic-power system perspective. The second part aims to study the planning of charging infrastructure for the different development stages of transportation electrification and grid decarbonisation. The last part investigates charging scheduling based on EV path selection in the real-time traffic system and load management in the power system. The strategies, methods, and mathematical models proposed in this thesis are demonstrated through simulation cases, providing effective solutions to the challenges raised by the popularisation of EVs. These solutions can facilitate the electrification of transportation and the decarbonisation of the grid.