4.7 Review

A comprehensive review on electric vehicles smart charging: Solutions, strategies, technologies, and challenges

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Utilization of Electric Vehicles for Vehicle-to-Grid Services: Progress and Perspectives

Sai Sudharshan Ravi et al.

Summary: Nations worldwide are striving to achieve carbon-free and energy-efficient goals, with electric vehicles being developed as a solution. However, the shift to electric vehicles presents various challenges such as increasing electricity generation and infrastructure development. Vehicle-to-grid (V2G) is considered a potential solution to address these mobility sector issues and offers benefits to the grid.

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Article Engineering, Electrical & Electronic

Integration of Prosumers with Battery Storage and Electric Vehicles Via Transactive Energy

Shady ElBatawy et al.

Summary: This paper presents a novel transactive energy approach that utilizes the existing systems to address the negative impacts of integrating distributed energy resources and electric vehicles on utility companies, while also creating a local energy market to improve service quality and increase profits for homeowners.

IEEE TRANSACTIONS ON POWER DELIVERY (2022)

Article Engineering, Electrical & Electronic

An IGDT/Scenario based stochastic model for an energy hub considering hydrogen energy and electric vehicles: A case study of Qeshm Island, Iran

Mostafa Kafaei et al.

Summary: With the development of human societies, new industries and needs are being formed, requiring the development of equipment and infrastructure in the field of power generation and transmission. Energy hubs can benefit from advantages such as optimal use of installation capacity and environmental potential, providing electricity, cooling, heating, and increasing flexibility by converting energy into other forms.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2022)

Article Engineering, Electrical & Electronic

Multi-agents based optimal energy scheduling technique for electric vehicles aggregator in microgrids

Muhammad Waseem Khan et al.

Summary: This paper proposes a multi-agents based optimal energy scheduling technique at microgrid level, using distributed resource management and linear programming to address actual grid uncertainties and electric vehicle states.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2022)

Article Energy & Fuels

Risk-based design of hydrogen storage-based charging station for hydrogen and electric vehicles using downside risk constraint approach

Qun Guo et al.

Summary: This paper proposes an off-grid photovoltaic powered charging station for electric and hydrogen vehicles. The station utilizes fuel cell and hydrogen storage systems to meet the demand during periods of inaccessibility of the solar system. A diesel generator is also included to address uncertainties and potential power shortages. The integration of downside risk constraints into the scenario-based stochastic programming model allows for an independent risk analysis and the comparison between risk-neutral and risk-averse states reveals the efficiency of the framework. The results show that an increase in cost leads to a significant reduction in risk and improves system efficiency.

JOURNAL OF ENERGY STORAGE (2022)

Article Engineering, Multidisciplinary

A Consumer-Oriented Incentive Strategy for EV Charging in Multiareas Under Stochastic Risk-Constrained Scheduling Framework

Zekun Li et al.

Summary: This article proposes a consumer-oriented charging incentive strategy for electric vehicles (EVs) in multiple regions, which guides the transfer of users and alleviates congestion at charging stations, improving scheduling efficiency.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2022)

Article Green & Sustainable Science & Technology

Sizing of a solar-wind hybrid electric vehicle charging station by using HOMER software

Orhan Ekren et al.

Summary: Countries around the world are shifting away from fossil resources to meet rising energy demand and promote sustainable energy use. Policies and regulations are driving the adoption of environmentally friendly energy sources, with electric vehicle development being a major focus. However, challenges such as ensuring efficient and sustainable electricity supply from renewable sources and the establishment of charging infrastructure must be addressed to ensure long-term sustainability.

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Article Engineering, Electrical & Electronic

Boosting integration capacity of electric vehicles: A robust security constrained decision making

Vahid Vahidinasab et al.

Summary: The study proposes a voltage stability constrained DSR-coordinated planning model for increasing the penetration level of EVs in a distribution system with PVs, WTs, and responsive loads. Uncertainties are modeled using a weighted IGDT and the model is solved through mixed-integer linear programming. Evaluation is conducted using a standard 33-bus distribution test system and a real-world smart distribution network on the Isle of Wight in the UK.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)

Article Energy & Fuels

An ensemble methodology for hierarchical probabilistic electric vehicle load forecasting at regular charging stations

Lubos Buzna et al.

Summary: This paper presents a methodology for probabilistic electric vehicle load forecasting for different geographic regions, using a hierarchical approach to decompose the problem at low-level regions and forecast the aggregate load at a high-level geographic region through an ensemble methodology. Experimental results show that hierarchical approaches increase the skill of probabilistic forecasts up to 9.5% compared with non-hierarchical approaches.

APPLIED ENERGY (2021)

Article Economics

Modeling the impact of EVs in the Chinese power system: Pathways for implementing emissions reduction commitments in the power and transportation sectors

Bo Li et al.

Summary: The deployment of renewable electricity and electric vehicles offers a unique opportunity to accelerate decarbonization in both China's power and transportation sectors. By utilizing the SWITCH-China model, the impacts of EVs on the power sector were evaluated, showing that large-scale EV deployment increases the need for generation capacity, with smart charging strategies reducing the additional storage capacity required. The study demonstrates that smart charging strategies can save costs compared to unmanaged charging and can help China meet its ambitious carbon targets.

ENERGY POLICY (2021)

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Evaluating smart charging strategies using real-world data from optimized plugin electric vehicles

Sierra Spencer et al.

Summary: Effective management of electric vehicle charging is crucial for reducing peak electricity demand, increasing utilization of renewable energy resources, and lowering charging costs. Studies have shown that optimization measures can successfully shift charging load from high grid cost periods to low grid cost periods, and effectively relocate charging events across different time periods and locations.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2021)

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Optimal day-ahead scheduling of microgrid with hybrid electric vehicles using MSFLA algorithm considering control strategies

Huaidong Li et al.

Summary: This paper studies the optimal day-ahead scheduling of microgrids considering renewable power generation, electric vehicles, and storage systems. The problem is modeled as a scenario-based stochastic optimization problem using the Monte-Carlo simulation method and solved using the modified shuffled frog leaping algorithm. The framework considers various charging/discharging patterns of EVs and is verified against other algorithms on a test microgrid.

SUSTAINABLE CITIES AND SOCIETY (2021)

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Smart grid energy district based on the integration of electric vehicles and combined heat and power generation

Francesco Calise et al.

Summary: This work focuses on addressing the energy management issues of the private transport and building sector through the use of smart grid technology. By utilizing a cogenerator and analyzing different charging strategies, the system aims to optimize energy performance and reduce primary energy consumption and carbon dioxide emissions. The results demonstrate significant energy savings and environmental benefits, with the proposed smart energy grid showing promise in mitigating the environmental impact of the building and private transport sector.

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State of Charge Influence on the Harmonic Distortion From Electric Vehicle Charging

Luis Manuel Caro et al.

Summary: There is a growing interest in the relationship between electric vehicle development and grid infrastructure among manufacturers, users, regulation institutions, and researchers. The penetration of electric vehicles in distribution networks poses challenges in terms of power quality, particularly harmonic emissions. This article explores the impact of charging algorithms and battery state of charge on harmonic current distortion during the charging process, proposing a new model that takes into account these factors for improved power quality studies.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2021)

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Energy trading among electric vehicles based on Stackelberg approaches: A review

Muhammad Adil et al.

Summary: The integration of renewable and other distributed energy resources has imposed challenges on the traditional power grid. The increasing demand for green energy and energy trading is driving the need for innovative solutions in the energy market, especially with the rise of electric vehicles. The use of Stackelberg game in modeling energy trading interactions and strategies shows promise in optimizing payoffs and addressing challenges in the current energy trading framework.

SUSTAINABLE CITIES AND SOCIETY (2021)

Review Chemistry, Multidisciplinary

Review of Renewable Energy-Based Charging Infrastructure for Electric Vehicles

Gamal Alkawsi et al.

Summary: With the rise in demand for electric vehicles, there is an increasing need for reliable charging infrastructure supported by renewable energy sources. The emergence of renewable energy-based charging stations has gained great acclaim in accommodating the rapid public adoption of electric transportation.

APPLIED SCIENCES-BASEL (2021)

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Stochastic day-ahead unit commitment scheduling of integrated electricity and gas networks with hydrogen energy storage (HES), plug-in electric vehicles (PEVs) and renewable energies

Ibrahim AlHajri et al.

Summary: This study investigates the stochastic day-ahead unit commitment scheduling of integrated natural gas and power systems, incorporating natural gas storage and hydrogen energy storage, as well as new flexible technologies like power to gas systems and demand response programs to reduce total operation cost. Sensitivity analysis is conducted to evaluate the impact of thermal load increment on the operation of combined heat and power units. Additionally, the study explores the introduction of residential plug-in electric vehicle charging stations and evaluates the sensitivity of the problem for PEV penetration.

SUSTAINABLE CITIES AND SOCIETY (2021)

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Reinforcement Learning-Based Load Forecasting of Electric Vehicle Charging Station Using Q-Learning Technique

Morteza Dabbaghjamanesh et al.

Summary: This article introduces a method to forecast EV charging station loads using Q-learning technique, which improves the predictive capabilities of traditional artificial intelligence techniques. Results demonstrate that the Q-learning technique can accurately forecast PHEV loads under different scenarios.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

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Stochastic Modeling and Integration of Plug-In Hybrid Electric Vehicles in Reconfigurable Microgrids With Deep Learning-Based Forecasting

Morteza Dabbaghjamanesh et al.

Summary: This study investigates the impact of different charging modes of plug-in hybrid electric vehicles on the optimal operation of microgrids, proposing a solution with smart PHEVs and utilizing reconfiguration techniques and optimization algorithms to handle nonlinearity and uncertainties in the problem.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)

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Numerical investigation of a new combined energy system includes parabolic dish solar collector, Stirling engine and thermoelectric device

Mehdi Mehrpooya et al.

Summary: The use of clean energy sources like solar energy is essential for providing energy to human societies, and choosing the appropriate technology to convert solar energy into useful energy is crucial. While individual solar energy systems have low performance, combining them with other energy generation devices in hybrid systems is a key solution for improved efficiency.

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Robust multi-objective optimal design of islanded hybrid system with renewable and diesel sources/stationary and mobile energy storage systems

Zaoli Yang et al.

Summary: This study presents a design scheme for a multi-source, energy storage integrated hybrid system (IHS), achieving optimal structure under economic and environmental conditions through multi-objective optimization and robust optimization, while considering load, uncertainties, and environmental factors in operational planning.

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Vehicle-to-X (V2X) implementation: An overview of predominate trial configurations and technical, social and regulatory challenges

Christine Gschwendtner et al.

Summary: The adoption of electric vehicles plays a key role in decarbonization and the integration of electricity and transportation systems. Despite the growing number of "Vehicle-to-X" trials globally, there is a lack of in-depth understanding of trial implementations and expert experiences, which are crucial for technological development and deployment.

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Article Engineering, Electrical & Electronic

Adaptive Charging Networks: A Framework for Smart Electric Vehicle Charging

Zachary J. Lee et al.

Summary: The Adaptive Charging Network (ACN) utilizes a flexible Adaptive Scheduling Algorithm to tackle practical challenges in charging systems, consistently outperforming baseline algorithms in delivering energy in highly congested systems.

IEEE TRANSACTIONS ON SMART GRID (2021)

Article Engineering, Electrical & Electronic

Disturbance Observer and Tube-Based Model Predictive Controlled Electric Vehicles for Frequency Regulation of an Isolated Power Grid

Arman Oshnoei et al.

Summary: This paper introduces a frequency regulation approach for a renewable energy penetrated isolated power grid with a large number of Electric Vehicles (EVs), using a disturbance observer and a tube-based Model Predictive Control (MPC) to efficiently control the aggregated EVs while minimizing frequency deviation error and considering various constraints. The proposed strategy can handle uncertainties from external disturbances by coordinating the charging and discharging of aggregated EVs, and stability analysis is conducted to examine the impact of communication link delays. Simulation results demonstrate the effectiveness of the designed observer and the advantages of the tube-based MPC over other control methods.

IEEE TRANSACTIONS ON SMART GRID (2021)

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Plug-in behavior of electric vehicles users: Insights from a large-scale trial and impacts for grid integration studies

Felipe Gonzalez Venegas et al.

Summary: The study evaluated the impact of considering non-systematic plug-in behavior in EV grid integration studies, finding that users tend to plug in their EV between 2 and 3 times per week, with lower plug-in frequency for large-battery EVs and large heterogeneity in charging preferences. Non-systematic plug-in behavior reduces the impact of EV charging, decreases available flexibility, especially when considering trends towards larger battery sizes.

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Charging Infrastructure for Commercial Electric Vehicles: Challenges and Future Works

Bassam Al-Hanahi et al.

Summary: This paper provides a comprehensive review and analysis of existing works on commercial vehicle charging, with a focus on charging strategies, research challenges, and future directions. Two major charging strategies, return-to-base charging and on route charging, are discussed, along with issues related to charging at public stations. Future works on accommodating vehicle to grid technology for commercial vehicles are also highlighted.

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Electric vehicle charging station locations: Elastic demand, station congestion, and network equilibrium

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Yan Cao et al.

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Ashish Kumar Karmaker et al.

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Sulabh Sachan et al.

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Machine Learning Based PEVs Load Extraction and Analysis

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Robust Control Scheme for Distributed Battery Energy Storage Systems in Load Frequency Control

Arman Oshnoei et al.

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Remote Monitoring of Electric Vehicle Charging Stations in Smart Campus Parking Lot

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Emission Trading Based Optimal Scheduling Strategy of Energy Hub with Energy Storage and Integrated Electric Vehicles

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Md Samar Ahmad et al.

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Risk-Averse Optimal Bidding of Electric Vehicles and Energy Storage Aggregator in Day-Ahead Frequency Regulation Market

Behzad Vatandoust et al.

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Improving reliability of distribution networks using plug-in electric vehicles and demand response

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Multi-objective synergistic planning of EV fast-charging stations in the distribution system coupled with the transportation network

Akanksha Shukla et al.

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Optimal siting and sizing of distribution system operator owned EV parking lots

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Distributed Coordination of Electric Vehicles providing V2G Regulation Services

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