A game-theoretic approach to assess peer-to-peer rooftop solar PV electricity trading under constrained power supply
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Springer Science and Business Media Deutschland GmbH
Abstract
The integration of distributed energy resources and the transition to smart cities are shifting the urban energy sector to a decentralized operating system. Blockchain-based microgrids, where small-scale operators trade electricity among each others, have gained remarkable attention recently. However, most of the proposed schemes study smart grids in prosperous cities. In this study, the performance of a solar-based power trading scheme is investigated in a shortage-prone context, Beirut City. Thus, we resort to a game-theoretic approach to model power trading as a repeated game between buildings at the urban scale. Results show that solar energy can cover up to 25% of the city electricity needs, depending on the rooftops area coverage. On the other hand, we found that deploying a peer-to-peer trading scheme has marginal impact since the energy demand in the city exceeds the supply and most buildings would prioritize self-consumption. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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Developing countries, Distributed solar energy, Game-theory, Peer-to-peer energy trading, Smart grid, Electric power transmission networks, Game theory, Power markets, Smart power grids, Electricity trading, Energy trading, Game-theoretic, Peer to peer, Power trading, Solar pvs, Under-constrained, Solar energy