Helping end-users help each other: Coordinating development and operation of distributed resources through local power markets and grid tariffs

Askeland, Magnus; Backe, Stian; Bjarghov, Sigurd; Korpås, Magnus

doi:10.1016/j.eneco.2020.105065

Cited by 22 publications

(23 citation statements)

References 27 publications

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“…Speci cally, previous works that apply this methodology to the examined problem include [18]- [23]. We summarize the main characteristics of this literature in Table 1.…”

Section: B Literature Reviewmentioning

confidence: 99%

“…In [22], a bilevel model is presented for designing volumetric and peak-power tari s. Grid costs entail load curtailment actions, nevertheless their recovery is not addressed. In [21], [23] the authors address the introduction of energy markets at the distribution level, and propose a model for designing at, volumetric, peak-power and xed tari s. The authors consider prospective high and medium voltage transformer capacity upgrade costs in [23].…”

Section: B Literature Reviewmentioning

confidence: 99%

“…Regarding the modelling and computational methodology of the aforementioned literature, in [18], [20], [21], [23] tari s are designed through an iterative process using incremental steps. This methodology can be applied in order to optimise a at tari , because a single decision variable is being optimized.…”

Section: B Literature Reviewmentioning

confidence: 99%

“…This methodology can be applied in order to optimise a at tari , because a single decision variable is being optimized. This is in contrast to fully granular tari s. The analyses in [18]- [23] consider tari s that have no spatial or temporal granularity. Moreover, in these analyses the power ow constraints of the network are not modelled in detail.…”

Section: B Literature Reviewmentioning

confidence: 99%

See 3 more Smart Citations

Bilevel Optimization Model for the Design of Distribution Use-of-System Tariffs

et al. 2021

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Pediaditis et al.: Bilevel Optimization Model for the Design of Distribution Use-of-System Tari sGeneration curtailment at node i and period (t, d) (MWh) π i,t,d Distribution use of system (DUoS) tari at node i and period (t, d) (e/MWh) u i,t,d,n Binary variable of tari level n at node i and period (t, d) P j,t,d Active power ow on branch j and period (t, d) (MW) Q j,t,d Reactive power ow on branch j and period (t, d) (MVar) v i,t,d Square of the voltage at node i and period (t, d) (V 2 )

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“…Speci cally, previous works that apply this methodology to the examined problem include [18]- [23]. We summarize the main characteristics of this literature in Table 1.…”

Section: B Literature Reviewmentioning

confidence: 99%

Section: B Literature Reviewmentioning

confidence: 99%

Section: B Literature Reviewmentioning

confidence: 99%

Section: B Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Bilevel Optimization Model for the Design of Distribution Use-of-System Tariffs

et al. 2021

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“…However, it is hard to provide evidence for this latter claim as local networks are dimensioned for peak usage, which is not necessarily affected by electricity sharing. In terms of P2P trading, for example, in [87] it is shown how a local electricity marketplace can complement grid tariffs in minimising future network investments. In the future, we might also see the adoption of P2P exchanges facilitating trading between consumers that consider technical grid constraints.…”

Section: Future Challengesmentioning

confidence: 99%

Welcoming New Entrants into European Electricity Markets

2021

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In this review paper, we select four important waves of new entrants that knocked on the door of European electricity markets to illustrate how market rules need to be continuously adapted to allow new entrants to come in and push innovation forward. The new entrants that we selected are utilities venturing into neighbouring markets after establishing a strong position in their home market, utility-scale renewables project developers, asset-light software companies aggregating smaller consumers and producers, and different types of communities. We show that well-intentioned rules designed for certain types of market participants can (unintentionally) become obstacles for new entrants. We conclude that the evolution of market rules illustrates the importance of dynamic regulation. At the start of the liberalisation process the view was that we would deregulate or re-regulate the sector after which the role of regulators could be reduced. However, their role has only increased. New players tend to improve the sustainability of the electricity sector in environmental, social, or economic terms but might also present new risks that require intervention by regulators.

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Tariff‐based regulatory sandboxes for EV smart charging: Impacts on the tariff and the power system in a national framework

Rancilio

Bovera

Delfanti

2022

Intl J of Energy Research

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Summary Electrification of private transport is a fundamental step for decarbonizing mobility. Electric vehicles (EV) can be a burden for the power system if vehicle‐grid integration is not implemented by design. Market‐based smart charging projects are effective, but their massive diffusion is limited. A fundamental instrument toward a large adoption of smart charging is the inclusion of smart charging‐oriented measures in regulatory sandboxes, conveniently acting on electricity tariff. This paper presents a set of possible toolboxes for smart charging to show the potential that regulatory measures can have on steering the infrastructure deployment and the charging activity. Each proposed toolbox addresses a specific charging mode, including domestic, workplace, and public access charging. Proposed measures are target‐oriented and evaluated based on their environmental, technical, and economic impacts. These include the carbon footprint of the electricity used for EV charging, the impact in terms of peak power withdrawal from the public grid and the charging cost born by EV users. Additionally, the assessment about the impact of prospected measures on the electricity tariffs' income is provided. Results show the possibility of reducing the evening EV‐related peak load by 30% to 50% via home smart charging. Also, a 10% decrease in carbon footprint is achieved by valley‐filling with work charging. Charging at the destination can reduce the system cost for the new distribution infrastructure, dropping the number of new dedicated connection points for public charging. The cost of incentives is partially repayable considering the additional EV penetration fostered by the reduced charging costs.

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Helping end-users help each other: Coordinating development and operation of distributed resources through local power markets and grid tariffs

Cited by 22 publications

References 27 publications

Bilevel Optimization Model for the Design of Distribution Use-of-System Tariffs

Bilevel Optimization Model for the Design of Distribution Use-of-System Tariffs

Welcoming New Entrants into European Electricity Markets

Tariff‐based regulatory sandboxes for EV smart charging: Impacts on the tariff and the power system in a national framework

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