Online machine learning of available capacity for vehicle-to-grid services during the coronavirus pandemic

Vehicle-to-grid services make use of the aggregated capacity available from a fleet of vehicles to participate in energy markets, help integrate renewable energy in the grid and balance energy use. In this paper, the critical components of such a service are described in the context of a commercial service that is currently under development. Key among these components is the prediction of available capacity at a future time. In this paper, we extend a previous work that used a deep learning recurrent neural network for this task to include online machine learning, which enables the network to continually refine its predictions based on observed behaviour. The coronavirus pandemic that was declared in 2020 resulted in closures of the university and substantial changes to the behaviour of the university fleet. In this work, the impact of this change in vehicles usage was used to test the predictions of a network initially trained using vehicle trip data from 2019 with and without online machine learning. It is shown that prediction error is significantly reduced using online machine learning, and it is concluded that a similar capability will be of critical importance for a commercial service such as the one described in this paper

SOBER ASSESSMENT OF ECONOMIC FEASIBILITY OF RENEWABLE ENERGY AND VEHICLE-TO-GRID TECHNOLOGIES IN UKRAINE

Estimate economical rationale of vehicle-to-grid technology (V2G) in Ukraine in with and without renewable energy systems

Legal and Regulatory Impediments to Vehicle-to-Grid Aggregation

This article begins by defining the “vehicle-to-grid” concept for a legal readership, and places it in context by discussing some major problems facing the United States electrical grid. There are several ways in which the vehicle-to-grid concept may potentially mitigate the grid’s problems as are described. Then, the article discusses the major legal and regulatory impediments to implementing a vehicle-to-grid program. Several of the hurdles are simply manifestations of uncertainties in the business environment. Others are more properly legal and regulatory impediments, but are expected to be surmountable. Therefore, the Article concludes that legal and regulatory impediments will not likely hinder the adoption of vehicle-to-grid programs

Vehicle-to-Grid - What is the Benefit for a Sustainable Mobility?

The demand for vehicles in industrialised countries is dropping and the growth rate in developing countries is slowing down rapidly. Driver of this evolution is evidently the current crisis but also the expectation that in the long run oil will not be sufficient and finally. Paper discus about that situation.vehicles, mobility

"Can Vehicle-to-Grid Revenue Help Electric Vehicles on the Market?"

Vehicle-to-grid (V2G) electric vehicles can return power stored in their batteries back to the power grid and be programmed to do so at times when power prices are high. Since providing this service can lead to payments to owners of vehicles, it effectively reduces the cost of electric vehicles. Using data from a national stated preference survey (n = 3029), this paper presents the first study of the potential consumer demand for V2G electric vehicles. In our choice experiment, 3029 respondents compared their preferred gasoline vehicle with two V2G electric vehicles. The V2G vehicles were described by a set of electric vehicle attributes and V2G contract requirements such as “required plug-in time” and “guaranteed minimum driving range”. The contract requirements specify a contract between drivers and a power aggregator for providing reserve power to the grid. Our findings suggest the V2G concept is mostly likely to help EVs on the market if power aggregators operate on pay-as-you-go-basis or provide consumers with advanced cash payment (upfront discounts on the price of EVs) in exchange for V2G restrictions.electric vehicles, vehicle-to-grid, stated preference, latent-class model

Loss analysis of vehicle-to-grid operation

The plug-in hybrid electric vehicle (PHEV) with vehicle-to-grid (V2G) capability is becoming increasingly popular and can be expected to deploy in a large scale. According to the estimation of PHEV penetration degree and the charging characteristics, the modeling of distribution grid with extra load of PHEV charging is formulated first. The PHEVs plugged into the grid, when aggregated in a considerable number, constitute a new load. The impacts of this extra load on the grid are analyzed by power flow simulation in terms of power losses and voltage variation. Uncontrolled charging and optimal charging scenarios are compared in the 33-bus test system. The results indicate the possible problem caused by charging PHEVs and the necessity of building a new control scheme to schedule the generation and the charging profile in the grid. Thus the optimization algorithm is designed to minimize the power losses, and enhance the power quality of the grid as well. The improved model with further constraints for practical application of V2G is discussed. In this model, the ability to schedule both charging and discharging of PHEVs with V2G technology is presented. © Copyright 2011 IEEE - All Rights Reserved.published_or_final_versionThe 2010 IEEE Vehicle Power and Propulsion Conference (VPPC), Lille, France, 1-3 September 2010. In Proceedings of VPPC, 2010, p. 1-

Cross impact analysis of vehicle-to-grid technologies in the context of 2030

This paper investigates the future of Vehicle-to-Grid technologies to be used in the UK in 2030 using the method of cross impact analysis. The paper describes the procedure of the cross impact matrix generation conducted to produce a multiplicity of scenarios of Vehicle-to-Grid futures. Three consistent scenarios (fossil, average and green) have been chosen for further development, interpretation and analysis to predict the implementation of Vehicle-to-Grid technologies for power grid stabilising and balancing in the future

On Beneficial Vehicle-to-Grid (V2G) Services

A number of studies have investigated the possibility of extending Electric Vehicle (EV) Lithium-ion battery life by deliberately choosing to store the battery at a low to moderate state of charge. Recently, there has been considerable interest shown in the scheme of a deliberate discharge and subsequent recharge of a battery to yield an overall reduction in battery degradation whilst carrying out Vehicle-to-Grid (V2G) services (so-called `beneficial V2G'). This paper presents an investigation of the conditions permitting successful operation of this method by examining incremental time variation of the relevant parameters for two types of cells from results of the same physical size and chemistry, and similar capacity. These two types of cells are found in this present analysis to offer differing degrees of suitability for beneficial V2G

Willingness to pay for electric vehicles and vehicle-to-grid applications: a Nordic choice experiment

We present the results from a choice experiment conducted across Denmark Finland, Iceland, Norway and Sweden focusing on electric vehicles and vehicle-to-grid technology. The survey involved the entire Nordic region and had >4000 respondents choosing between two versions of electric vehicles (some including vehicle-to-grid capability) as well as their preferred gasoline vehicle. We analyzed the data using a mixed logit model and present the willingness to pay for driving range, acceleration, recharging time, fuel source, and vehicle-to-grid capability. In addition, due to the cross-national nature of our data, we also present willingness-to-pay comparisons between the five Nordic countries. We find that certain attributes, like driving range and recharging time, are substantially higher than previous estimates, whereas others, like acceleration are lower. In addition, we find that some attributes vary across the five countries (such as driving range), whereas other attributes remain constant. Finally, we find that vehicle-to-grid capability, divorced of onerous contracts, is significantly positive, but only for some countries, whereas in other countries it has no value, implying greater education and awareness of vehicle-to-grid is necessary if it is to accelerate electric vehicle adoption