Optimizing rooftop photovoltaic distributed generation with battery storage for peer-to-peer energy trading

Nguyen, Su; Peng, Wei; Sokolowski, Peter; Alahakoon, Damminda; Yu, Xinghuo

doi:10.1016/j.apenergy.2018.07.042

Cited by 232 publications

(114 citation statements)

References 29 publications

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“…[17] proposes an energy sharing model with price based demand response for peer-to-peer network within a microgrid. In [29], the authors propose an optimization model for battery systems in a P2P energy trading market to optimize the use of rooftop solar generation. [19] proposes a methodology based on sensitivity analysis to assess the impact of P2P transactions on the network and to guarantee an exchange of energy that does not violate…”

Section: A P2p Energy Networkmentioning

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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Section: A P2p Energy Networkmentioning

confidence: 99%

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

et al. 2019

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“…An optimization model is developed in [9] for the photovoltaic (PV)-battery system in the P2P market with real-world constraints and market signals. A similar PV and battery-driven P2P energy trading model is also proposed in [10] through an aggregated two-stage battery control technology.…”

Section: Introductionmentioning

confidence: 99%

A coalition formation game framework for peer-to-peer energy trading

et al. 2020

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This paper studies social cooperation backed peer-to-peer energy trading technique by which prosumers can decide how they can use their batteries opportunistically for participating in the peer-to-peer trading. The objective is to achieve a solution in which the ultimate beneficiaries are the prosumers, i.e., a prosumer-centric solution. To do so, a coalition formation game is designed, which enables a prosumer to compare its benefit of participating in the peer-to-peer trading with and without using its battery and thus, allows the prosumer to form suitable social coalition groups with other similar prosumers in the network for conducting peer-to-peer trading. The properties of the formed coalitions are studied, and it is shown that 1) the coalition structure that stems from the social cooperation between participating prosumers at each time slot is both stable and optimal, and 2) the outcomes of the proposed peerto-peer trading scheme is prosumer-centric. Case studies are conducted based on real household energy usage and solar generation data to highlight how the proposed scheme can benefit prosumers through exhibiting prosumer-centric properties.

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“…Deterioration of the global environment and the depletion of fossil fuel energy has led to growing attention being focused on distributed and renewable forms of generation, like solar energy and wind power. Within a global context of rapid development of solar photovoltaic (PV), Australia has the leading position in the penetration of PV panels for residential users [1]. Globally, due to the shift of energy supply technology and patterns, energy markets are also undergoing a shift toward a decentralized and digital economy, while peer-to-peer (P2P) energy trading for distributed generation (DG) is finding its way into the energy sector.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Peer-to-Peer Power Trading in a Microgrid with Distributed PV and Battery Energy Storage Systems

et al. 2020

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Integrating distributed generation (DG) into the main grid is a challenge for the safety and stability of the grid. The application of peer-to-peer (P2P) technology in microgrids with distributed generation is expected to facilitate increased self-consumption of distributed and renewable energy, and the rise of prosumers’ monetary benefits. A P2P energy trading model in microgrids with photovoltaic (PV) distributed generation and battery energy storage systems (BESSs) is proposed in this paper. We additionally designed a P2P electricity trading mechanism based on coalition game theory. A simulation framework of this model is presented which assumed a local community with 30 households under comprehensive constraints encompassing a customer load profile, PV system, BESSs, market signals including feed-in tariffs, and retail prices. Firstly, individual customers can post orders (purchasing orders or selling orders) and exchange information in a P2P energy trading market. Secondly, the microgrid operator can validate the orders based on how to achieve the minimum overall energy consumption in microgrids and set reasonable real-time purchasing and selling prices for P2P energy transactions. Thirdly, the orders can be automatically conducted and completed at the designed optimal price. This mechanism can be a practical solution motivating individual customers to participate in P2P electricity trading, assist with electricity cost reduction, benefit from electricity supply increases, and help the grid operators to make the most economically and socially friendly decisions.

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Optimizing rooftop photovoltaic distributed generation with battery storage for peer-to-peer energy trading

Cited by 232 publications

References 29 publications

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

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

A coalition formation game framework for peer-to-peer energy trading

Optimization of Peer-to-Peer Power Trading in a Microgrid with Distributed PV and Battery Energy Storage Systems

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