Article
Computer Science, Information Systems
Carola Leone, Michela Longo, Luis M. Fernandez-Ramirez
Summary: The increasing popularity of electric vehicles has led to a demand for better charging infrastructure, with ultra-fast charging technology playing a key role in enabling long-distance travels. The differences in EVs on the market make the sizing of charging stations more challenging, but a smart charging strategy can help address these issues. By modeling the optimization of charging stations as a single-objective problem, it is possible to reduce the required installed power significantly while meeting the needs of multiple charging spots effectively.
Article
Thermodynamics
Zia Ullah, Shaorong Wang, Guan Wu, Hany M. Hasanien, Anis Ur Rehman, Rania A. Turky, Mohamed R. Elkadeem
Summary: The integration of Electric Vehicles (EVs) and Photovoltaics (PVs) into the electric power distribution system is increasing worldwide. However, the simultaneous integration of EVs and PVs poses challenges that require suitable control design and optimization strategies. This paper proposes a solar-based grid-tied charging station (SGTCS) that maximizes PV power utilization for EV charging. The proposed model considers seasonal variation effects and was implemented using HOMER Grid, including a case study in Islamabad. The results show the relevance and applicability of the study.
Article
Computer Science, Interdisciplinary Applications
Yeming Dai, Yao Qi, Lu Li, Baohui Wang, Hongwei Gao
Summary: This paper proposes a dynamic pricing scheme for EV charging stations based on a Stackelberg game model to optimize the charging strategy of PV charging stations and implement EV user demand response. Through analyzing the probability properties of model constraints, the game model with uncertainty is transformed into a convex game.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Energy & Fuels
Carola Leone, Carlo Peretti, Andrea Paris, Michela Longo
Summary: The installation of Ultra-Fast Charging stations (UFCS) is crucial for promoting the global shift to electric mobility. However, integrating UFCSs with energy transmission and distribution grids poses technical challenges due to their high energy demand in a short period of time. To address this, this paper conducts an optimization study to determine the optimal size of Photovoltaic (PV) power plants and Battery Energy Storage Systems (BESS) in the station systems. The results demonstrate that incorporating PV plants and BESS can increase the profitability of UFCSs by 7.5% compared to a solution without additional components.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Construction & Building Technology
Dong Qiao, Guangmin Wang, Meng Xu
Summary: Electric vehicles (EVs) are crucial for reducing air pollution in urban areas as they produce zero emissions. To address the planning problem of fast-charging stations (FCS) for EVs, a two-phase approach consisting of data processing and model optimization is proposed. The developed model aims to minimize the total social cost (TSC) by integrating the maximal coverage location model and charging equilibrium model.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Green & Sustainable Science & Technology
Ajit Kumar Mohanty, Perli Suresh Babu, Surender Reddy Salkuti
Summary: This paper proposes a multi-objective optimization method for the simultaneous optimal allocation of FCEs, DGs, and SCs. The proposed method outperforms other existing algorithms in terms of cost reduction, voltage stability, and meeting transportation requirements.
Article
Automation & Control Systems
Mostafa Mahfouz, Reza Iravani
Summary: This article presents a supervisory controller for operating an electric vehicle fast charging station in autonomous mode when the supply grid is unavailable. The controller is based on the supervisory control theory and ensures seamless transition between different modes of operation.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Environmental Studies
Tai-Yu Ma, Simin Xie
Summary: A new online vehicle-charging assignment model is proposed to reduce charging delays in electrified shared mobility services, showing promising results in minimizing charging operation time with an efficiency optimization approach.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Energy & Fuels
Xiaoou Liu
Summary: The planning of EV charging stations is crucial for the development of EVs and the transformation of the distribution network. This study proposes a bi-level planning model that considers the diversity of charging demands and the acceptance capacities of the distribution network. The model utilizes probability statistics and simulation algorithms to determine charging requirements, and considers factors such as cooperative service and network capacity.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Jiaqing Zhong, Ni Yang, Xiaohui Zhang, Jing Liu
Summary: This paper proposes a charging and navigation strategy for electric vehicles that considers the difference in user time utility, in order to provide the best choice for electric vehicles with fast charging needs.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Computer Science, Information Systems
Yu-Jin Lin, Yu-Cheng Chen, Jun-Yi Zheng, Dan-Wei Shao, Dan Chu, Hong-Tzer Yang
Summary: This study proposes a smart electric vehicle charging station energy management system based on blockchain technology, aiming to protect user privacy, ensure fair power transactions, and meet the charging demands of a large number of EVs. The system integrates energy management through smart contracts, allowing for real-time power transactions and optimal charging and discharging control.
Article
Green & Sustainable Science & Technology
Rawan Shabbar, Anemone Kasasbeh, Mohamed M. Ahmed
Summary: The paper presents a Markov-chain network model for optimal placement of charging stations, with investigation on demand and electric vehicle numbers. It proposes a CS allocation algorithm based on this model, alongside the use of Grey Wolf Optimization to maximize net profit. Experimental results show Level 2 chargers are best for low demand areas while Level 3 chargers perform better with increased EVs or high charging demands.
Article
Energy & Fuels
Qifu Cheng, Lei Chen, Qiuye Sun, Rui Wang, Dazhong Ma, Dehao Qin
Summary: This paper introduces a DC FCS architecture based on a PV system without ESS to reduce costs and improve GIC utilization. The proposed smart charging algorithm (SCA) can coordinate EV charging needs while maximizing power output of the PV system and utilization of GICs.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2021)
Article
Construction & Building Technology
Jiale Li, Zhenbo Liu, Xuefei Wang
Summary: The study uses an improved genetic algorithm to determine the location of public charging stations, considering the investment of charging station operators and the travel costs of BEV owners, reducing the total cost by 7.6%.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Thermodynamics
Peter Makeen, Hani A. Ghali, Saim Memon, Fang Duan
Summary: This paper proposes a novel smart techno-economic operation method for electric vehicle charging stations (EVCS) controlled by an aggregator based on a hierarchal model. The deterministic charging scheduling is used to balance the generated and consumed power and surplus power is supplied to the utility grid. Mixed-integer linear programming (MILP) is used to solve the first stage, and Markov Decision Process Reinforcement Learning (MDP-RL) is used to maximize the charging station profit. The outcomes show a sufficient techno-economic hierarchical model for normal operation.
Article
Engineering, Aerospace
A. Goswami
ADVANCES IN SPACE RESEARCH
(2018)
Article
Green & Sustainable Science & Technology
Moumita Sadhu, Utpal Goswami, Niladri Das, Pradip Kumar Sadhu, Anik Goswami
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY
(2018)
Article
Engineering, Aerospace
A. Goswami
ADVANCES IN SPACE RESEARCH
(2019)
Article
Green & Sustainable Science & Technology
Anik Goswami, Paromita Sadhu, Utpal Goswami, Pradip Kumar Sadhu
ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY
(2019)
Article
Engineering, Electrical & Electronic
Anik Goswami, Paromita Sadhu, Pradip Kumar Sadhu
ELEKTRONIKA IR ELEKTROTECHNIKA
(2019)
Article
Energy & Fuels
Anik Goswami, Paromita Sadhu, Pradip Kumar Sadhu
JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME
(2020)
Article
Green & Sustainable Science & Technology
Anik Goswami, Pradip Kumar Sadhu
Summary: This paper presents the adoption of floating solar photovoltaic (FSPV) system on waste water treatment systems. The experiment showed that the FSPV module performed with 9.84% higher efficiency than land-based PV (LBPV) module. The feasibility study and techno-economic analysis demonstrated that the FSPV system is better in social and economic performance compared to a similar LBPV system.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2023)
Article
Energy & Fuels
Anik Goswami, Pradip Kumar Sadhu
Summary: This study focuses on the technoeconomic feasibility and reliability of a floating solar photovoltaic (FSPV) power plant for long term power generation. The performance analysis of the FSPV module showed an average performance ratio of 71.58% and a degradation rate of 1.18%, while a feasibility study of a 5 MW FSPV power plant indicated an annual electricity generation of 8604.5 MWh with a degradation rate of 1.18% per year. The plant will also save 105000 kL of water per year and reduce CO2 emissions by 183,493.24 tones over its lifetime.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Article
Green & Sustainable Science & Technology
Nimesh Kumar Singh, Anik Goswami, Pradip Kumar Sadhu
Summary: This research evaluates the economic and ecological benefits of a floating solar photovoltaic system through an assessment of a 96 megawatt power plant. The results show that the floating solar photovoltaic system generates more electricity compared to land-based photovoltaic systems, while also saving water and reducing carbon emissions.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2023)
Article
Engineering, Electrical & Electronic
Sagnik Bhattacharya, Anik Goswami, Pradip Kumar Sadhu
Summary: The Floating Solar Photovoltaic System (FSPV) is being seen as a promising technology to economically harness renewable energy. It overcomes the limitation of land availability that often disrupts the implementation of large-scale PV systems. FSPV systems floating the PV modules on water bodies enable optimal utilization of water resources and land assets. Furthermore, they provide higher power output and can be integrated with hydropower stations, storage systems, and the electric grid.
MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Anik Goswam, Subhajit Basu, Pradip Kumar Sadhu