Article
Thermodynamics
Chengzhe Li, Libo Zhang, Zihan Ou, Qunwei Wang, Dequn Zhou, Jiayu Ma
Summary: This article studies the optimization of electric vehicle charging station in combination with distributed renewable energy, proposing a robust optimization model based on road network and grid, considering uncertainties in EV charging demand and renewable energy output, and using kernel density estimation to address over-conservatism. Simulation results on a network show the robustness and economy of the model.
Article
Computer Science, Information Systems
Ashish Kumar Karmaker, Md. Alamgir Hossain, Hemanshu Roy Pota, Ahmet Onen, Jaesung Jung
Summary: This paper presents an energy management algorithm that considers techno-economic and environmental factors for a hybrid solar and biogas-based electric vehicle charging station. The proposed algorithm, designed for a 20-kW charging station, utilizes a fuzzy inference system in MATLAB SIMULINK to optimize real-time charging costs and renewable energy utilization by managing power generation, EV power demand, charging periods, and existing charging rates. The results demonstrate a 74.67% reduction in energy costs compared to existing flat rate tariffs, with lower charging costs on weekdays and weekends. The integration of hybrid renewables also leads to a significant decrease in greenhouse gas emissions, making the project profitable with short payback periods for charging station owners.
Article
Automation & Control Systems
Gopal Soundra Devi, Jawahar Rahila, Athmanathan Radhika, Pandi Meenalochini
Summary: A hybrid method combining optimization and decision tree algorithms is proposed in this study for electric-vehicle fast charging stations, aiming to reduce the peak power demand on the grid and improve power demand through the use of energy storage systems. Simulation results show that the proposed method outperforms existing methods in terms of power delivery.
OPTIMAL CONTROL APPLICATIONS & METHODS
(2023)
Article
Energy & Fuels
Hedayat Saboori, Shahram Jadid
Summary: This study proposes a solution to high electricity costs and renewable energy waste by utilizing mobile charging stations, with a novel model for spatio-temporal status and battery power-energy scheduling.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Youssef Amry, Elhoussin Elbouchikhi, Franck Le Gall, Mounir Ghogho, Soumia El Hani
Summary: In electric vehicle charging systems, energy storage systems (ESS) are commonly used to supplement solar power and store excess energy. This article explores a hybrid system with a flywheel and PV for an EV workplace charging station. The study investigates the optimal sizing and operational cost of the hybrid system to make it more cost-effective. Comparative studies are carried out for different charging station models in different climate zones to determine the viability and cost-effectiveness of the proposed system.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Ziyue Jiang, Jingzuo Han, Yetong Li, Xinyu Chen, Tianduo Peng, Jianliang Xiong, Zhan Shu
Summary: This study proposes an optimization methodology for EV charging station layout that considers EV charging behavior, sequential charging demand, and its impact on the power system. Applying this methodology to Jiangxi, the recommended charging station capacities in workplaces, residences, and shopping centers achieve increased renewable energy integration and reduced carbon emissions.
Review
Energy & Fuels
Mohammad Shafiei, Ali Ghasemi-Marzbali
Summary: This paper discusses the design and development of fast charging stations, along with the challenges and future directions of electric vehicle charging.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Multidisciplinary
Long YiLin, Li Yong, Wang YaHui, Cao YiJia, Jiang Lin, Zhou YiCheng, Deng YouYue, Yosuke Nakanishi
Summary: This paper studies the optimal planning for grid-connected EVCS with RES, considering the uncertainty of EV load. The results show that applying RES can bring economic benefits, and different characteristics of EV load will influence the capacity of each device (PV, battery, converter) in the optimal planning of EVCS.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2021)
Article
Automation & Control Systems
Dongxiang Yan, He Yin, Tao Li, Chengbin Ma
Summary: Incorporating renewable energy resources and energy storage into charging stations is an effective solution to address the growing demand for electric vehicle charging. The two-stage scheme proposed in this article efficiently solves the energy management issues of charging stations.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Thermodynamics
Mohammad Shafiei, Ali Ghasemi-Marzbali
Summary: This paper aims to design a fast-charging station that considers parameters such as solar panel capacity, storage systems, wind turbine, Demand Response (DR) program, and stochastic model of Renewable Energy Sources (RESs). The findings revealed that using load management at the charging station increases profitability and reduces initial capital investment. A hybrid algorithm is proposed to forecast wind speed changes. The total 10-year cost is reduced by 17.85% and 3.31% in the presence of Demand Response (DR) for the first and second ownerships, respectively.
Article
Thermodynamics
Dogan Erdemir, Ibrahim Dincer
Summary: This study focuses on the development and evaluation of a unique solar-powered charging station integrated with hydrogen production, storage, and utilization systems. A thermodynamic analysis based on energy and exergy approaches is performed to assess the system's performance. The study highlights the potential of hydrogen as a promising fuel option and carbon-free energy storage medium. It also demonstrates the feasibility of developing a solar-driven off-grid charging station with the integration of hydrogen.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Automation & Control Systems
Shuangqi Li, Pengfei Zhao, Chenghong Gu, Jianwei Li, Shuang Cheng, Minghao Xu
Summary: This article develops a novel V2G scheduling method for consuming local renewable energy in microgrids by using a mixed learning framework, aims to protect vehicle batteries from fast aging and deal with renewable energy volatility. The effectiveness of the developed models is verified on a U.K. microgrid with actual energy generation and consumption data. The article effectively enables V2G to promote local renewable energy with battery aging mitigated, benefiting EV owners and microgrid operators, and facilitating decarbonization at low costs.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Energy & Fuels
Chuyu Sun, Xiaoli Zhao, Binbin Qi, Weihao Xiao, Hongjun Zhang
Summary: The coupled photovoltaic-energy storage-charging station (PV-ES-CS) is an important approach for promoting low-carbon energy use, but the integrated charging stations are underdeveloped due to the lack of evaluation on their economic and environmental benefits. This study analyzes the economic and environmental benefits of integrated charging stations developed at different scales, based on electricity load and data from electric vehicle charging stations in Beijing. The results show that the benefits vary significantly depending on the location (building type) and scale of the charging stations.
Article
Engineering, Electrical & Electronic
Ciro Attaianese, Antonio Di Pasquale, Pasquale Franzese, Diego Iannuzzi, Mario Pagano, Mattia Ribera
Summary: This paper proposes an online scheduling algorithm for UFCSs equipped with Battery Energy Storage Systems, which considers both infrastructure and EVs constraints. The algorithm takes into account the efficiency of the infrastructure and the dependence of the maximum EV charging rate on the State of Charge (SoC).
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Vandana Jain, Bhim Singh, Seema
Summary: This work presents a charging station with a battery energy storage (BES) system, which enhances the power quality of the grid. The positive sequence components of the grid voltages are evaluated to estimate the unit templates and reference grid currents. The electric vehicle (EV) and BES are connected through a bidirectional buck-boost converter, allowing the EV to take power from the solar array during the daytime and from the grid when the solar power is unavailable. Tests conducted on a hardware prototype demonstrate the satisfactory response of the system under different dynamics conditions.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)