Investigation of V2G economical viability

Almehizia, Abdullah A.; Snodgrass, Jonathan

doi:10.1109/tpec.2018.8312048

Cited by 15 publications

(3 citation statements)

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“…The authors of (Almehizia & Snodgrass, 2018) determine that using V2G technology to sell electricity to the grid is profitable. Based on USA data, Peterson et al model the economic and net social welfare benefits of V2G participation at off-peak hours (Peterson et al, 2010).…”

Section: State Of the Artmentioning

confidence: 99%

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Electric vehicles as distribution grid batteries: a reality check

et al. 2021

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The current transition towards electric mobility implies that a significant portion of electricity is drawn by and stored in the electric vehicle’s (EV) batteries. Vehicle-to-grid (V2G) technologies can potentially give distribution system operators access to such energy to provide ancillary services, while remunerating the vehicle owners for their availability to participate. Although the benefits of stabilization and grid efficiency improvements are clear, is it appealing and lucrative for the vehicle owners to participate in such services? In this work, we answer this question by modelling the V2G system and performing economic projections of the possible benefits for EV owners. In particular, we present a novel way of parametrizing the electric vehicle driving profile and the V2G energy transfer to compute battery degradation costs. A profit model is developed to evaluate the profit earned by the vehicle owners offering their batteries. The profit is estimated on the basis of the owner’s inclination to buy and sell energy from the grid based on the electricity price. Using data of the German electricity market, we estimate a profit of 662 €/EV/Year for a vehicle with 100 kWh capacity, 95% battery round trip efficiency and driving 52 km per day. The remuneration is meaningful and can have the potential to encourage EV owners to participate in V2G service.

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Section: State Of the Artmentioning

confidence: 99%

“…The first factor is the inevitable battery degradation caused by V2G services. An exception is in (Almehizia & Snodgrass, 2018), where a fixed battery degradation cost is considered for the calculation of the profit. Though a fixed degradation cost is an important simplification.…”

Section: State Of the Artmentioning

confidence: 99%

Electric vehicles as distribution grid batteries: a reality check

et al. 2021

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“…Thus, V2G utilize RES more flexibly for the grid. Most ancillary services can be provided by the V2G thanks to the bi-directional power flow, including regulation for frequency and voltage, load leveling, peak power reduction, and spinning reserves [23].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Data Analysis of Electric Vehicle User Behaviors Toward Unlocking Vehicle-to-Grid Potential

et al. 2023

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Electric vehicles (EVs) improve the power grid by increasing intermittent renewable energy consumption and providing financial support to EV users via vehicle-to-grid (V2G) integration. While estimating these advantages, a number of studies have neglected to consider the effect of driving and charging behavior patterns on their results. This article provides a framework that systematically evaluates EV driving and charging behaviors to improve charge management in the light of recent standards and advancements. In addition, the collected data on driving habits are analyzed in order to provide a consistent and usable dataset. By evaluating the individual and simultaneous charging demand characteristics, the V2G potential is further explored. Moreover, managerial recommendations for EV charging management are offered by improving the time step using the Bootstrap approach for more precise results than lower resolution. It is also addressed that the simultaneous use of a limited number of EVs required minimum time. According to the findings of this study, daily travel habits have a crucial influence in defining seasonal and individual charging demands. In order to continue with EV charging-related assessments with a confidence interval of more than 95%, the findings suggest that time steps of lower than ten minutes must be used. In addition, the purpose of this study is to assist researchers from academia and business with further information as they build initiatives linked to EV charging infrastructure and real-time charging management standards that account environmental aspects. INDEX TERMSBootstrap, charging behavior, distributed network, driving data, electric vehicle. ALPASLAN DEMIRCI received the B.S. and M.S. degrees in electrical engineering from Marmara University, Istanbul, Turkey, in 2007 and 2011, respectively, and the second B.S. degree in electrical and electronics engineering from Sakarya University, Turkey, in 2017. He is currently pursuing the Ph.D. degree in electrical engineering with Yıldız Technical University (YTU), Istanbul. From 2012 to 2016, he was a Lecturer at the Department of Electricity and Energy, YTU, where he is a Lecturer with the Electrical Engineering Department, since 2016. His research interests include power system optimization methods, distributed renewable energy systems, and energy economics and electric vehicles. He has published several papers related to his research areas.

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