A Review of Network Modeling and Services Integration in Peer-to-Peer Electricity Markets

Blockchain-based peer-to-peer (P2P) energy trading is one of the most viable solutions to incentivize prosumers in distributed electricity markets. However, P2P energy trading through an open-end blockchain network is not conducive to mutual credit and the privacy protection of stakeholders. Therefore, improving the credibility of P2P energy trading is an urgent problem for distributed electricity markets. In this paper, a novel double-layer energy blockchain network is proposed that stores private trading data separately from publicly available information. This blockchain network is based on optimized cross-chain interoperability technology and fully considers the special attributes of energy trading. Firstly, an optimized ring mapping encryption algorithm is designed to resist malicious nodes. Secondly, a consensus verification subgroup is built according to contract performance, consensus participation and trading enthusiasm. This subgroup verifies the consensus information through the credit-threshold digital signature. Thirdly, an energy trading model is embedded in the blockchain network, featuring dynamic bidding and credit incentives. Finally, the Erenhot distributed electricity market in China is utilized for example analysis, which demonstrates the proposed method could improve the credibility of P2P trading and realize effective supervision.

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Negotiation Algorithms for Peer-to-Peer Electricity Markets: Computational Properties

2018 Power Systems Computation Conference (PSCC) ◽

10.23919/pscc.2018.8442914 ◽

2018 ◽

Cited By ~ 13

Author(s):

F. Moret ◽

T. Baroche ◽

E. Sorin ◽

P. Pinson

Keyword(s):

Electricity Markets ◽

Peer To Peer ◽

Computational Properties

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Pricing decisions in peer-to-peer and prosumer-centred electricity markets: Experimental analysis in Germany and the United Kingdom

10.31234/osf.io/6d4w5 ◽

2021 ◽

Author(s):

Ulf J.J. Hahnel ◽

Michael James Fell

Keyword(s):

United Kingdom ◽

Citizen Participation ◽

Electricity Markets ◽

Electricity Market ◽

Supply And Demand ◽

Energy Transition ◽

Active Participation ◽

Peer To Peer ◽

Political Orientation ◽

The United Kingdom

Prosumer-centred electricity market models such as peer-to-peer communities can enable optimized supply and demand of locally generated electricity as well as an active participation of citizens in the energy transition. An important element of active participation is the improved ability of community members to identify and choose who they transact with in a much more granular way than is usual. Despite this key novelty and the social core of prosumer-centred markets, little is known about how citizens would trade with different actors involved in the system. Here, we report a preregistered cross-national experiment in which we investigated individual trading preferences in a peer-to-peer community, including a variety of private and non-private trading actors. Our data from the United Kingdom (n=441) and Germany (n=440) shows that set buying and selling prices strongly vary, pointing to three systematically different trading strategies that individuals apply as a function of involved trading actor. Findings moreover reveal that trading decisions are determined by individuals’ political orientation, place attachment, and climate change beliefs as well as individual differences in trust in the involved trading actor. Finally, our results illustrate high consistency in trading preferences across nations. However, nation-level differences emerged when decisions were made publicly visible, emphasising the need to consider context-effects in peer-to-peer system design. Our results have implications for the development of prosumer-centred energy models and the design of interventions to increase citizen participation across national contexts.

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Consensus-Based Approach to Peer-to-Peer Electricity Markets With Product Differentiation

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2018.2872880 ◽

2019 ◽

Vol 34 (2) ◽

pp. 994-1004 ◽

Cited By ~ 73

Author(s):

Etienne Sorin ◽

Lucien Bobo ◽

Pierre Pinson

Keyword(s):

Product Differentiation ◽

Electricity Markets ◽

Peer To Peer

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Impact of local electricity markets and peer-to-peer trading on low-voltage grid operations

Applied Energy ◽

10.1016/j.apenergy.2021.117404 ◽

2021 ◽

Vol 301 ◽

pp. 117404

Author(s):

Marthe Fogstad Dynge ◽

Pedro Crespo del Granado ◽

Naser Hashemipour ◽

Magnus Korpås

Keyword(s):

Electricity Markets ◽

Low Voltage ◽

Peer To Peer

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Exogenous Cost Allocation in Peer-to-Peer Electricity Markets

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2019.2896654 ◽

2019 ◽

Vol 34 (4) ◽

pp. 2553-2564 ◽

Cited By ~ 31

Author(s):

Thomas Baroche ◽

Pierre Pinson ◽

Roman Le Goff Latimier ◽

Hamid Ben Ahmed

Keyword(s):

Electricity Markets ◽

Cost Allocation ◽

Peer To Peer

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Local Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approach

Frontiers in Energy Research ◽

10.3389/fenrg.2021.705066 ◽

2021 ◽

Vol 9 ◽

Author(s):

Ricardo Faia ◽

João Soares ◽

Mohammad Ali Fotouhi Ghazvini ◽

John F. Franco ◽

Zita Vale

Keyword(s):

Electric Vehicles ◽

Electricity Markets ◽

Execution Time ◽

Optimal Solution ◽

Peer To Peer ◽

Market Model ◽

Mixed Integer ◽

Local Energy ◽

Low Carbon ◽

Energy Community

Local electricity markets are emerging solutions to enable local energy trade for the end users and provide grid support services when required. Various models of local electricity markets (LEMs) have been proposed in the literature. The peer-to-peer market model appears as a promising structure among the proposed models. The peer-to-peer market structure enables electricity transactions between the players in a local energy system at a lower cost. It promotes the production from the small low–carbon generation technologies. Energy communities can be the ideal place to implement local electricity markets as they are designed to allow for larger growth of renewable energy and electric vehicles, while benefiting from local transactions. In this context, a LEM model is proposed considering an energy community with high penetration of electric vehicles in which prosumer-to-vehicle (P2V) transactions are possible. Each member of the energy community can buy electricity from the retailer or other members and sell electricity. The problem is modeled as a mixed-integer linear programing (MILP) formulation and solved within a decentralized and iterative process. The decentralized implementation provides acceptable solutions with a reasonable execution time, while the centralized implementation usually gives an optimal solution at the expense of reduced scalability. Preliminary results indicate that there are advantages for EVs as participants of the LEM, and the proposed implementation ensures an optimal solution in an acceptable execution time. Moreover, P2V transactions benefit the local distribution grid and the energy community.

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