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A Distributed Energy Sharing Framework for Communities with PV Prosumers and Aggregate EV Prosumers
Fan Chen (Wuhan University of Science and Technology), Huaiyu Wu (Wuhan University of Science and Technology), Mian Hu (Wuhan University of Science and Technology), Yang Chen (Wuhan University of Science and Technology)
Résumé : Under the energy policy that encourages local consumption of renewable energy, energy sharing between neighboring prosumers is more effective compared with the case of independent operation of each prosumer. This paper proposes a new energy sharing framework of community prosumers, considering that the energy sharing operator (ESO) is equipped with two types of energy storage devices (batteries and powerto-gas devices) and the two types of prosumers (photovoltaic prosumers and aggregate electric vehicle prosumers) have both electricity and hydrogen loads. The Stackelberg game framework is designed with the ESO as leader and the two types of prosumers as followers. The ESO aims to maximize its revenue and coordinate the energy sharing between community prosumers by setting dynamic electricity prices. Each prosumer maximizes its payoff through optimal response. A distributed bi-level iterative algorithm is designed to solve the Stackelberg game equilibrium strategy, which can protect the privacy information of prosumers effectively. Simulation results are provided to show that the proposed community prosumer energy sharing framework can not only increase the benefits of the ESO and all prosumers, but also reduce the load pressure of the main grid.