Peer to Peer Energy Trading with Electric Vehicles

Álvaro-Hermana, Roberto; Fraile-Ardanuy, Jesús; Zufiria, Pedro J.; Knapen, Luk; Janssens, Davy

doi:10.1109/mits.2016.2573178

Cited by 189 publications

(90 citation statements)

References 13 publications

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“…If the directly connected neighbour cannot satisfy an energy demand, the demand and/or supply will be requested from the utility company. The work in [26] presented a P2P energy trading system among EVs. In this case, the energy trading system is based on an activity model to predict the daily activity of drivers in Belgium in particular.…”

Section: Classification Based On Distributed Structurementioning

confidence: 99%

“…This includes deciding the appropriate structure to use for the trade, as well as the supporting control mechanisms to adopt. In this regards, one of the key questions is whether the trading structure should be distributed/P2P [24][25][26][27][28] or centralized through a platform/energy market [29][30][31][32] operation. Likewise, the form of control to be adopted to route information among the actors, whether distributed or central control, needs to be harmonized.…”

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confidence: 99%

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State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System

et al. 2017

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Abstract:Transaction-based energy (TE) management and control has become an increasingly relevant topic, attracting considerable attention from industry and the research community alike. As a result, new techniques are emerging for its development and actualization. This paper presents a comprehensive review of TE involving peer-to-peer (P2P) energy trading and also covering the concept, enabling technologies, frameworks, active research efforts and the prospects of TE. The formulation of a common approach for TE management modelling is challenging given the diversity of circumstances of prosumers in terms of capacity, profiles and objectives. This has resulted in divergent opinions in the literature. The idea of this paper is therefore to explore these viewpoints and provide some perspectives on this burgeoning topic on P2P TE systems. This study identified that most of the techniques in the literature exclusively formulate energy trade problems as a game, an optimization problem or a variational inequality problem. It was also observed that none of the existing works has considered a unified messaging framework. This is a potential area for further investigation.

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Section: Classification Based On Distributed Structurementioning

confidence: 99%

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confidence: 99%

State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System

et al. 2017

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“…This framework enables a local microgrid market without central entity for small agents to trade energy locally. Alvaro-Hermana et al [51] implemented P2P energy trading between electric vehicles. The objective of the proposed approach is to increase bilateral trade between EVs, instead of them charging from the pool market.…”

Section: Full P2p Marketmentioning

confidence: 99%

“…3) Predicting system behaviour by grid operators, because of the lack of centralized control; 4) Guarantee of safety and high-quality energy delivery [29], [49], [64], [50], [51] Community-based market 1) Enhancing the relationship and involvement of community members, because of sharing a common good (i.e. energy);…”

Section: Comparison On P2p Market Designsmentioning

confidence: 99%

Peer-to-peer and community-based markets: A comprehensive review

Sousa

Soares

Pinson

et al. 2019

Renewable and Sustainable Energy Reviews

732

348

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The advent of more proactive consumers, the so-called "prosumers", with production and storage capabilities, is empowering the consumers and bringing new opportunities and challenges to the operation of power systems in a market environment. Recently, a novel proposal for the design and operation of electricity markets has emerged: these so-called peer-to-peer (P2P) electricity markets conceptually allow the prosumers to directly share their electrical energy and investment. Such P2P markets rely on a consumercentric and bottom-up perspective by giving the opportunity to consumers to freely choose the way they are to source their electric energy. A community can also be formed by prosumers who want to collaborate, or in terms of operational energy management. This paper contributes with an overview of these new P2P markets that starts with the motivation, challenges, market designs moving to the potential future developments in this field, providing recommendations while considering a test-case.

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“…The developed tool is tested on a virtual industrial microgrid to present the technical and economic outputs. Other than above-mentioned categories, which are summarized in Table I, the application of P2P trading is also found in managing energy for electric vehicles, e.g., see [34] and [35].…”

Section: General Focus Of the Studymentioning

confidence: 99%

A motivational game-theoretic approach for peer-to-peer energy trading in the smart grid

et al. 2019

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Peer-to-peer trading in energy networks is expected to be exclusively conducted by the prosumers of the network with negligible influence from the grid. This raises the critical question: how can enough prosumers be encouraged to participate in peer-to-peer trading so as to make its operation sustainable and beneficial to the overall electricity network? To this end, this paper proposes how a motivational psychology framework can be used effectively to design peer-to-peer energy trading to increase user participation. To do so, first, the state-of-the-art of peer-to-peer energy trading literature is discussed by following a systematic classification, and gaps in existing studies are identified. Second, a motivation psychology framework is introduced, which consists of a number of motivational models that a prosumer needs to satisfy before being convinced to participate in energy trading. Third, a game-theoretic peer-to-peer energy trading scheme is developed, its relevant properties are studied, and it is shown that the coalition among different prosumers is a stable coalition. Fourth, through numerical case studies, it is shown that the proposed model can reduce carbon emissions by 18.38% and 9.82% in a single day in Summer and Winter respectively compared to a feed-in-tariff scheme. The proposed scheme is also shown to reduce the cost of energy up to 118 ¢ and 87 ¢ per day in Summer and Winter respectively. Finally, how the outcomes of the scheme satisfy all the motivational psychology models is discussed, which subsequently shows its potential to attract users to participate in energy trading.

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Peer to Peer Energy Trading with Electric Vehicles

Cited by 189 publications

References 13 publications

State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System

State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System

Peer-to-peer and community-based markets: A comprehensive review

A motivational game-theoretic approach for peer-to-peer energy trading in the smart grid

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