Journal ArticleDOI
Electric vehicles and the electric grid: A review of modeling approaches, Impacts, and renewable energy integration
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TLDR
A review of the current literature on EVs, the electric grid, and renewable energy integration is presented in this paper, where the economic, environmental and grid impacts of EVs are reviewed.Abstract:
Electric vehicles (EVs) and renewable energy sources offer the potential to substantially decrease carbon emissions from both the transportation and power generation sectors of the economy. Mass adoption of EVs will have a number of impacts and benefits, including the ability to assist in the integration of renewable energy into existing electric grids. This paper reviews the current literature on EVs, the electric grid, and renewable energy integration. Key methods and assumptions of the literature are discussed. The economic, environmental and grid impacts of EVs are reviewed. Numerous studies assessing the ability of EVs to integrate renewable energy sources are assessed; the literature indicates that EVs can significantly reduce the amount of excess renewable energy produced in an electric system. Studies on wind–EV interaction are much more detailed than those on solar photovoltaics (PV) and EVs. The paper concludes with recommendations for future research.read more
Citations
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Proceedings ArticleDOI
A Two-Stage Interleaved Bridgeless SEPIC based PFC Converter for Electric Vehicle Charging Application
TL;DR: In this paper , a bridgeless interleaved SEPIC topology is proposed to reduce voltage stress, power loss, increase the converter efficiency and improve the power factor of electric vehicles.
Book ChapterDOI
Mitigating the effects of PEV fast charging on grids with renewable and storage systems
TL;DR: In this paper , a summary of plug-in electric vehicles and renewable energy sources (RESs) is reviewed in detail, mainly on the issues and mitigations arising from the integration of PEVs into an electric power system.
Proceedings ArticleDOI
Hybrid Charging Station for Multiple EVs through RES Performing V2G and G2V Operations*
Shah Zaman,Muhammad Sharjeel Ali +1 more
TL;DR: In this paper , the authors proposed a two-way energy interchange between EVs and the grid by providing a V2G and G2V operations, which provides various benefits such as peak load reduction, backup power, and load balancing to the grid.
Proceedings ArticleDOI
Electric vehicle charging load forecasting based on federal learning
TL;DR: An FRF-CNN model is designed, which combines federated learning with random forest and the convolutional neural network model, which has better classification performance on distributed charging piles than other models, and effectively protects the privacy of sensitive data.
Proceedings ArticleDOI
Optimal Capacity Sizing for a Completely Green Village With Programmable Appliances
Abstract: Current trends show that renewable energy production costs continue to decrease with time, so that renewable energy sources (RES) are becoming more suitable as electricity sources. In addition to their environmental benefits, RES are especially appropriate for remote areas, where the expansion of existing power grid is impractical and fuel transportation for thermal generators is too expensive. In this regard, our work studies the optimal capacity sizing for a completely green village (CGV), which is an isolated residential microgrid (MG) whose power is entirely generated by RES. In particular, we consider a neighborhood composed of smart homes that contain programmable appliances, whose operations can be interrupted or automatically scheduled in time. Though there are many works in literature that investigate MG optimal capacity sizing, to our knowledge, our work is the first that utilizes the scheduling of programmable appliance to minimize MG investment costs. To establish the effectiveness of our method, we compare an optimal MG capacity sizing algorithm that utilizes appliances’ programmability (Opt-P) with an algorithm that places appliances into operation as soon as they are ready without shifting in time or preempting their operation (NoSchP). Our simulation results show that Opt-P reduces the investment cost by at least 42% compared to NoSch-P, when the ratio between the energy storage investment cost per kWh and the RES’ investment cost per kW is greater or equal to 10.
References
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Journal ArticleDOI
Vehicle-to-grid power fundamentals: Calculating capacity and net revenue
Willett Kempton,Jasna Tomić +1 more
TL;DR: In this paper, the authors defined the three vehicle types that can produce V2G power and the power markets they can sell into, and developed equations to calculate the capacity for grid power from three types of electric drive vehicles.
Journal ArticleDOI
Vehicle-to-grid power implementation: From stabilizing the grid to supporting large-scale renewable energy
Willett Kempton,Jasna Tomić +1 more
TL;DR: In this article, the authors examine the systems and processes needed to tap energy in vehicles and implement V2G and quantitatively compare today's light vehicle fleet with the electric power system.
Journal ArticleDOI
Using fleets of electric-drive vehicles for grid support
Jasna Tomić,Willett Kempton +1 more
TL;DR: In this article, the economic potential of two utility-owned fleets of battery-electric vehicles to provide power for a specific electricity market, regulation, in four US regional regulation services markets was evaluated.
Journal ArticleDOI
Integration of renewable energy into the transport and electricity sectors through V2G
Henrik Lund,Willett Kempton +1 more
TL;DR: In this paper, two national energy systems are modelled, one for Denmark, including combined heat and power (CHP) and the other a similarly sized country without CHP (the latter being more typical of other industrialized countries).
Journal ArticleDOI
A conceptual framework for the vehicle-to-grid (V2G) implementation
Christophe Guille,George Gross +1 more
TL;DR: A proposed framework to effectively integrate the aggregated battery vehicles into the grid as distributed energy resources to act as controllable loads to levelize the demand on the system during off-peak conditions and as a generation/storage device during the day to provide capacity and energy services to the grid.
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