Article
Automation & Control Systems
Jangkyum Kim, Hyeontaek Oh
Summary: This article proposes an efficient power operation scheme for EV charging facility by jointly analyzing various power rate policies, battery wear-out costs, and uncertainty issues caused by EV users' behavior. The effectiveness of the proposed scheme is analyzed using real-world EV operation datasets, showing a reduction of 20.5% in overall cost and 17.3% in peak power compared to other benchmark models when applied in an actual power system.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Energy & Fuels
F. Hipolito, C. A. Vandet, J. Rich
Summary: The increasing interest in electric vehicle (EV) charging situation has led to the development of models that approximate the distribution of State-of-Charge (SoC) levels for EVs. These models help understand charging needs and provide crucial information for vehicle-to-grid (V2G) applications. The study suggests that a full electrification of the vehicle fleet could stress the power grid but also offers potential for deploying V2G as a mechanism to dampen high-demand effects.
Article
Engineering, Electrical & Electronic
Teng Long, Qing-Shan Jia, Gongming Wang, Yu Yang
Summary: This paper presents an efficient and scalable real-time scheduling method for handling the charging demands of plug-in electric vehicles (PEV), demonstrating through simulations that the proposed method provides high computation efficiency and scalability while reducing operating costs for charging stations. Compared to existing methods, it outperforms in terms of charging policy search capabilities and performance guarantee.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Economics
Arthur J. Caplan
Summary: This paper explores the coopetitive relationship between a private firm and a utility in the EV charging-station market. The utility chooses to self-regulate in order to continue earning revenue from selling electricity to the firm's charging stations. The study also examines the conditions under which the utility does not decrease its mark-up rate in response to increased market demand for EV charging, as well as when a regulator may choose a lower mark-up rate than the utility.
ECONOMIC MODELLING
(2023)
Article
Energy & Fuels
Zhikang Li, Chengbin Ma
Summary: This paper proposes a new temporal-spatial EV charging coordination scheme that considers the uncertainties in EV arrival time and total available charging power. Through the use of a generalized Nash equilibrium game and a distributed receding horizon optimization-based solution, the proposed method improves service quality of EV charging.
Article
Computer Science, Information Systems
Xi Chen, Haihui Wang, Fan Wu, Yujie Wu, Marta C. Gonzalez, Junshan Zhang
Summary: This article presents a model of the electric vehicle (EV) charging network as a cyber-physical system that is coupled with transportation networks and smart grids. An EV charging station recommendation algorithm is proposed to create synergy between transportation networks and smart grids and utilize EV charging activities as a load-balancing tool to transfer energy between unbalanced distribution grids.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Environmental Sciences
Paula Bastida-Molina, Elias Hurtado-Perez, Angel Perez-Navarro, David Alfonso-Solar
Summary: This paper discusses the alarming increase in the average temperature of the planet due to the massive emission of greenhouse gases, and explores how to optimize the EV recharging scenario to make full use of the existing electricity generation system. Results show that by scheduling charging times appropriately, the electricity demand curve can be evened out, especially in scenarios with high EV penetration.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Construction & Building Technology
Shuohan Liu, Xu Xia, Yue Cao, Qiang Ni, Xu Zhang, Lexi Xu
Summary: Electric Vehicles (EVs) are more environmentally friendly than traditional internal combustion vehicles (ICVs), but they have longer charging times. This paper proposes an Urgency First Charging (UFC) scheduling policy based on charging urgency, which is shown through simulations to improve user experience and shorten overall EV trip durations.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Thermodynamics
Feixiang Jiao, Yuan Zou, Xudong Zhang, Bin Zhang
Summary: This paper proposes a two-stage optimal framework for the online dispatch of a grid-connected DC microgrid, aiming to address the uncertainties of renewable energy and load demand. The framework includes a power coordination model and a charging station allocation model, and its superiority is validated through numerical case studies.
Article
Engineering, Electrical & Electronic
Weitong Chen, Feiyang Lin, Grant A. Covic
Summary: This article proposes a two-phase DDQ track topology to improve interoperability and reduce power transfer fluctuations in dynamic electric vehicle charging systems. It also presents a method to simplify the design process.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Jiayan Liu, Gang Lin, Sunhua Huang, Yang Zhou, Yong Li, Christian Rehtanz
Summary: This article proposes an optimal charging scheduling method for electric vehicles in the context of limited charging facilities, aiming to reduce costs and meet the charging demands of each EV by responding to time-of-use electricity pricing. The method is formulated as a bilevel programming model and is shown to be effective in simulation results.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Energy & Fuels
Kalash Srivastava, Shailendra Kumar, Rakesh Maurya
Summary: The demand for high-quality charging infrastructure is increasing due to the rising number of electric vehicles. Solar energy-based charging stations are expected to grow as non-conventional and distributed energy sources gain more importance. This paper introduces a multifunctional solar photovoltaic based charging station with EV battery energy storage, which improves the viability and reliability of the station. The voltage source converter provides harmonic mitigation, reactive power compensation, and power factor correction, while the adaptive filtering approach minimizes errors and enhances dynamic response.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Electrical & Electronic
Jacob Bollerslev, Peter Bach Andersen, Tue Vissing Jensen, Mattia Marinelli, Andreas Thingvad, Lisa Calearo, Tilman Weckesser
Summary: This study models the coincidence factor (CF) of electric vehicle (EV) charging based on driving and plug-in behaviors. The results show that the CF decreases with an increase in the number of EVs considered, while driving behavior and battery size have minimal influence. Additionally, mixing parameters such as EV battery size and charging power leads to non-linear changes in the active power drawn by the feeder.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Energy & Fuels
Thomas R. McKinney, Erica E. F. Ballantyne, David A. Stone
Summary: This paper highlights the lack of academic discourse surrounding the transition to EVs for rural areas and presents the modelling and results of several potential scenarios for rural EV charging habits. Using 7-day travel patterns for a small rural village in the UK, the paper investigates the energy requirements and potential recharging patterns when switching all vehicles to EVs. The results show that electricity tariffs and charging behaviors can greatly impact energy and power requirements, posing concerns for rural grid infrastructure and the overall EV transition across the UK.
Article
Computer Science, Information Systems
Joaquim Perez, Filipe Quintal, Lucas Pereira
Summary: We propose a user-friendly and intuitive simulation tool to evaluate the integration of electric vehicle charging processes into power grids. The decoupled and flexible architecture achieved through open design and containerized microservices has been successfully validated.