Resource Sharing in Energy Communities: A Cooperative Game Approach
Abstract: We analyze the overall benefits of an energy community cooperative game under which distributed energy resources (DER) are shared behind a regulated distribution utility meter under a general net energy metering (NEM) tariff. Two community DER scheduling algorithms are examined. The first is a community with centrally controlled DER, whereas the second is decentralized letting its members schedule their own DER locally. For both communities, we prove that the cooperative game's value function is superadditive, hence the grand coalition achieves the highest welfare. We also prove the balancedness of the cooperative game under the two DER scheduling algorithms, which means that there is a welfare re-distribution scheme that de-incentivizes players from leaving the grand coalition to form smaller ones. Lastly, we present five ex-post and an ex-ante welfare re-distribution mechanisms and evaluate them in simulation, in addition to investigating the performance of various community sizes under the two DER scheduling algorithms.
- A. S. Alahmed and L. Tong, “Integrating distributed energy resources: Optimal prosumer decisions and impacts of net metering tariffs,” SIGENERGY Energy Inform. Rev., vol. 2, no. 2, p. 13–31, Aug. 2022. [Online]. Available: https://doi.org/10.1145/3555006.3555008
- ——, “Dynamic net metering for energy communities,” 2023. [Online]. Available: https://arxiv.org/abs/2306.13677
- Y. Yang, G. Hu, and C. J. Spanos, “Optimal sharing and fair cost allocation of community energy storage,” IEEE Transactions on Smart Grid, vol. 12, no. 5, pp. 4185–4194, Sep. 2021.
- P. Chakraborty, E. Baeyens, and P. P. Khargonekar, “Cost causation based allocations of costs for market integration of renewable energy,” IEEE Transactions on Power Systems, vol. 33, no. 1, pp. 70–83, 2018.
- L. Han, T. Morstyn, and M. McCulloch, “Incentivizing prosumer coalitions with energy management using cooperative game theory,” IEEE Transactions on Power Systems, vol. 34, no. 1, pp. 303–313, 2019.
- A. Fleischhacker, C. Corinaldesi, G. Lettner, H. Auer, and A. Botterud, “Stabilizing energy communities through energy pricing or PV expansion,” IEEE Trans. on Smart Grid, vol. 13, no. 1, pp. 728–737, 2022.
- S. Cui, Y.-W. Wang, Y. Shi, and J.-W. Xiao, “Community energy cooperation with the presence of cheating behaviors,” IEEE Transactions on Smart Grid, vol. 12, no. 1, pp. 561–573, 2021.
- N. Vespermann, T. Hamacher, and J. Kazempour, “Access Economy for Storage in Energy Communities,” IEEE Transactions on Power Systems, vol. 36, no. 3, pp. 2234–2250, 2021.
- P. Chakraborty, E. Baeyens, P. P. Khargonekar, K. Poolla, and P. Varaiya, “Analysis of solar energy aggregation under various billing mechanisms,” IEEE Tran. on Smart Grid, vol. 10, no. 4, pp. 4175–4187, 2019.
- A. S. Alahmed, G. Cavraro, A. Bernstein, and L. Tong, “Operating-envelopes-aware decentralized welfare maximization for energy communities,” in 2023 59th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2023, pp. 1–8.
- A. S. Alahmed and L. Tong, “On net energy metering X: Optimal prosumer decisions, social welfare, and cross-subsidies,” IEEE Transactions on Smart Grid, vol. 14, no. 02, pp. 1652–1663, 2023.
- L. S. Shapley, “On balanced sets and cores,” Naval Research Logistics Quarterly, vol. 14, no. 4, pp. 453–460, 1967. [Online]. Available: https://onlinelibrary.wiley.com/doi/abs/10.1002/nav.3800140404
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