Market integration or bids granularity to enhance flexibility provision by batteries of electric vehicles

Borne, Olivier; Pérez, Yannick; Petit, Marc

doi:10.1016/j.enpol.2018.04.019

Cited by 25 publications

(13 citation statements)

References 20 publications

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“…In practice, no one really knows how much storage exists, or therefore, how much flexibility the energy system might actually contain (Kaschub et al., 2016; Taylor et al., 2013). For those interested in whole systems energy management, what is known as decentralised storage is especially hard to calculate and impossible to control (Basak et al., 2012; Borne et al., 2018; Eid et al., 2016; Müller and Möst, 2018). In addition, exactly when and how so-called ‘local’ forms of storage are brought into play, and the significance of such systems is both uncertain and dynamic.…”

Section: Part 1: Representations Of Flexibility In the Energy Sectormentioning

confidence: 99%

Conceptualising flexibility: Challenging representations of time and society in the energy sector*

2020

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There is broad agreement that the need to decarbonise and make better use of renewable and more intermittent sources of power will require increased flexibility in energy systems. However, organisations involved in the energy sector work with very different interpretations of what this might involve. In describing how the notion of flexibility is reified, commodified, and operationalised in sometimes disparate and sometimes connected ways, we show that matters of time and timing are routinely abstracted from the social practices and forms of provision on which the rhythms of supply and demand depend. We argue that these forms of abstraction have the ironic effect of stabilising interpretations of need and demand, and of limiting rather than enabling the emergence of new practices and patterns of demand alongside, and as part of, a radically decarbonised energy system. One way out of this impasse is to conceptualise flexibility as an emergent outcome of the sequencing and synchronisation of social practices. To do so requires a more integrated and historical account of how supply and demand constitute each other and how both are implicated in the temporal organisation of everyday life. It follows that efforts to promote flexibility in the energy sector need to look beyond systems of provision, price, technology, and demand-side management narrowly defined, and instead focus on the social rhythms and the timing of what people do.

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Section: Part 1: Representations Of Flexibility In the Energy Sectormentioning

confidence: 99%

Conceptualising flexibility: Challenging representations of time and society in the energy sector*

2020

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“…underlying assumption that EVs are plugged in every day and at all times (day and night) that they are not being driven, which can prove to be highly unrealistic. In another case study, Borne et al (2018) and Calearo and Marinelli (2020) estimated the revenues of EV fleets participating in primary frequency regulation services every day. This hypothesis may be possible for highly reliable company fleets, but is less accurate for much more uncertain private user fleets.…”

Section: Literature Review On Plug-in Behaviormentioning

confidence: 99%

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

2021

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“…For instance, the Act on the Digitization of the Energy Transition encourages the introduction of smart meters and provides a secure communication platform for the transition from current distribution networks to smart grids in Germany [23]. Regarding the changes in the regulatory framework, several EU member states have implemented aggregators with different degrees of technical capabilities [24,25].…”

Section: Prediction-of-use Tariff By Aggregatormentioning

confidence: 99%

A Framework for Determining a Prediction-Of-Use Tariff Aimed at Coordinating Aggregators of Plug-In Electric Vehicles

et al. 2019

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The objective of this article is to propose a framework for defining a day-ahead prediction-of-use tariff (POU) that promotes aggregators of the plug-in electric vehicles (PEVs) to operate as closely as possible to an optimal charging curve previously calculated by the distribution system operator (DSO). The DSO calculates this optimal charging curve to flatten the load curve of the distribution transformers as much as possible by coordinating the daily recharging of PEVs. The objective is to establish the optimal power profile of the PEV aggregators needed to flatten the power curve supplied by the transformer, so that PEV customers’ needs can be met throughout the day. The proposed framework is applied in a case study accounting for uncertainties associated with charging through Monte Carlo simulation, in order to find the POU tariff. The results demonstrate that applying the POU tariff determines the transformer’s minimum power limit necessary to meet all PEV users’ needs. Additionally, the day-ahead POU tariff does not generate new demand peaks, since it does not concentrate the energy supply of flexible loads in pre-established time bands. Finally, simulation reflects the significant effect of the PEV charging on the distribution system in terms of enhancing the voltage profile, maximizing the transformer life, and reducing the power/energy losses.

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Market integration or bids granularity to enhance flexibility provision by batteries of electric vehicles

Cited by 25 publications

References 20 publications

Conceptualising flexibility: Challenging representations of time and society in the energy sector*

Conceptualising flexibility: Challenging representations of time and society in the energy sector*

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

A Framework for Determining a Prediction-Of-Use Tariff Aimed at Coordinating Aggregators of Plug-In Electric Vehicles

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