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- W4206770363 abstract "This paper focuses on the optimal scheduling of the charging and discharging strategies of a community energy storage (CES) system, which is shared by the prosumers belonging to a grid-connected energy community. The prosumers own renewable energy sources (RESs), while they can buy/sell their energy imbalance directly from/to the power grid. For the sake of increasing the penetration of RESs and reducing the operating cost, prosumers leverage on the shared CES: in particular, each user can only employ a portion of the overall CES charge/discharge profile. Differently from the related literature, where storage devices are individually owned and the battery degradation aspects are typically disregarded, we propose a novel control mechanism based on noncooperative game theory, which allows users to minimize their energy cost as well as concur on the CES resources allocation with minimal-degradation. The effectiveness of the method is validated through numerical experiments on a realistic case study, where a shared CES supplies energy to the local community of residential prosumers. Finally, the comparison with a centralized control approach shows that the proposed framework allows all prosumers to achieve a fair cost-optimal utilization of the shared CES." @default.
- W4206770363 created "2022-01-25" @default.
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- W4206770363 date "2021-10-17" @default.
- W4206770363 modified "2023-09-26" @default.
- W4206770363 title "A Decentralized Noncooperative Control Approach for Sharing Energy Storage Systems in Energy Communities" @default.
- W4206770363 doi "https://doi.org/10.1109/smc52423.2021.9658851" @default.
- W4206770363 hasPublicationYear "2021" @default.
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