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Farsighted stability of distributed energy resource sharing

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  • Ai, Wenqing
  • Deng, Tianhu
  • Qi, Wei

Abstract

In a storage sharing system consisting of prosumers, the advantages of peer-to-peer energy storage sharing rely on the stability of the system. However, previous studies only considered the impact of prosumers’ myopic behaviors but overlooked their farsighted behaviors on the stability. In a farsighted view, prosumers not only consider their operating cost generated by one-step (joint) defections but also concern with the subsequent reactions of others to their actions. Directly applying the core, a myopic stability criterion, would increase the risk of misjudgment on the stability. To fill this gap, this paper proposes a method based on the largest consistent set (LCS) to capture the impact of prosumers’ farsighted behaviors on the stability under the optimal operation policy. The optimal operation policy includes an optimal storage decision and a stable cost allocation rule. This paper first derives the analytical solutions of the optimal storage that minimizes the expected daily operating cost of the system for tackling the technical complexity of generalizing from the conventional time-of-use pricing to multi-tier time-of-use pricing. Then, to identify the farsighted stability under Shapley value cost allocations, we investigate the conditions that the grand coalition is in the LCS, namely the conditions of the stable system. Combining real data on residential energy consumption, case studies show that the core will significantly underestimate the probability of the system stability. Such an underestimation increases with the growth of the system scale. This paper may stimulate future relevant studies on farsighted energy sharing.

Suggested Citation

  • Ai, Wenqing & Deng, Tianhu & Qi, Wei, 2022. "Farsighted stability of distributed energy resource sharing," Applied Energy, Elsevier, vol. 326(C).
  • Handle: RePEc:eee:appene:v:326:y:2022:i:c:s0306261922012259
    DOI: 10.1016/j.apenergy.2022.119968
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    References listed on IDEAS

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    1. Tom Brijs & Daniel Huppmann & Sauleh Siddiqui & Ronnie Belmans, 2016. "Auction-Based Allocation of Shared Electricity Storage Resources through Physical Storage Rights," Discussion Papers of DIW Berlin 1566, DIW Berlin, German Institute for Economic Research.
    2. Hafiz, Faeza & Rodrigo de Queiroz, Anderson & Fajri, Poria & Husain, Iqbal, 2019. "Energy management and optimal storage sizing for a shared community: A multi-stage stochastic programming approach," Applied Energy, Elsevier, vol. 236(C), pages 42-54.
    3. Lombardi, P. & Schwabe, F., 2017. "Sharing economy as a new business model for energy storage systems," Applied Energy, Elsevier, vol. 188(C), pages 485-496.
    4. Konishi, Hideo & Ray, Debraj, 2003. "Coalition formation as a dynamic process," Journal of Economic Theory, Elsevier, vol. 110(1), pages 1-41, May.
    5. Nagarajan, Mahesh & Sosic, Greys, 2008. "Game-theoretic analysis of cooperation among supply chain agents: Review and extensions," European Journal of Operational Research, Elsevier, vol. 187(3), pages 719-745, June.
    6. Du, Gang & Lin, Wei & Sun, Chuanwang & Zhang, Dingzhong, 2015. "Residential electricity consumption after the reform of tiered pricing for household electricity in China," Applied Energy, Elsevier, vol. 157(C), pages 276-283.
    7. Fiestras-Janeiro, M.G. & García-Jurado, I. & Meca, A. & Mosquera, M.A., 2011. "Cooperative game theory and inventory management," European Journal of Operational Research, Elsevier, vol. 210(3), pages 459-466, May.
    8. Tang, Yanyan & Zhang, Qi & Mclellan, Benjamin & Li, Hailong, 2018. "Study on the impacts of sharing business models on economic performance of distributed PV-Battery systems," Energy, Elsevier, vol. 161(C), pages 544-558.
    9. Hua, Weiqi & Jiang, Jing & Sun, Hongjian & Wu, Jianzhong, 2020. "A blockchain based peer-to-peer trading framework integrating energy and carbon markets," Applied Energy, Elsevier, vol. 279(C).
    10. Wang, Jianxiao & Zhong, Haiwang & Wu, Chenye & Du, Ershun & Xia, Qing & Kang, Chongqing, 2019. "Incentivizing distributed energy resource aggregation in energy and capacity markets: An energy sharing scheme and mechanism design," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    11. Zhou, Yue & Wu, Jianzhong & Song, Guanyu & Long, Chao, 2020. "Framework design and optimal bidding strategy for ancillary service provision from a peer-to-peer energy trading community," Applied Energy, Elsevier, vol. 278(C).
    12. Zhang, Chenghua & Wu, Jianzhong & Zhou, Yue & Cheng, Meng & Long, Chao, 2018. "Peer-to-Peer energy trading in a Microgrid," Applied Energy, Elsevier, vol. 220(C), pages 1-12.
    13. Wang, Chen & Zhou, Kaile & Yang, Shanlin, 2017. "A review of residential tiered electricity pricing in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 533-543.
    Full references (including those not matched with items on IDEAS)

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