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Distributed demand-side energy management scheme in residential smart grids: An ordinal state-based potential game approach

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  • Liang, Yile
  • Liu, Feng
  • Wang, Cheng
  • Mei, Shengwei

Abstract

This paper proposes a distributed demand-side energy management scheme in residential smart grids based on ordinal state-based potential game (SPG) with various kinds of household electrical appliances. Involving the total electricity costs, the supply capacity limits incurred by the distribution infrastructures and the required energy demands for individual appliances, the optimal energy management (OEM) of demand-side users, i.e., homes, turns out to be a complicated optimization problem associated with a coupled objective function subject to spatially and temporally coupled constraints. Such a problem is difficult to solve in a distributed fashion. In this paper, we formulate it as an ordinal SPG, devising a distributed algorithm to achieve the optimum of the original centralized OEM with no need of any central coordinator during the process of execution. Our scheme does not require any private information of individual users to be shared, while both the optimality and convergence are obtained. We also show the scheme is robust to unreliable communications. And the proposed scheme is illustrated and verified by simulations.

Suggested Citation

  • Liang, Yile & Liu, Feng & Wang, Cheng & Mei, Shengwei, 2017. "Distributed demand-side energy management scheme in residential smart grids: An ordinal state-based potential game approach," Applied Energy, Elsevier, vol. 206(C), pages 991-1008.
    • Handle: RePEc:eee:appene:v:206:y:2017:i:c:p:991-1008
    DOI: 10.1016/j.apenergy.2017.08.123
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    Cited by:

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    2. Lai, Kexing & Illindala, Mahesh S., 2018. "A distributed energy management strategy for resilient shipboard power system," Applied Energy, Elsevier, vol. 228(C), pages 821-832.
    3. Nian Liu & Bin Guo & Zifa Liu & Yongli Wang, 2018. "Distributed Energy Sharing for PVT-HP Prosumers in Community Energy Internet: A Consensus Approach," Energies, MDPI, vol. 11(7), pages 1-18, July.
    4. Yongxiu He & Wei Xiong & Binyou Yang & Hai-yan Yang & Jiu-fang Zhou & Ming-li Cui & Yan Li, 2022. "Combined game model and investment decision making of power grid-distributed energy system," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8667-8690, June.
    5. Liu, Guodong & Jiang, Tao & Ollis, Thomas B. & Zhang, Xiaohu & Tomsovic, Kevin, 2019. "Distributed energy management for community microgrids considering network operational constraints and building thermal dynamics," Applied Energy, Elsevier, vol. 239(C), pages 83-95.
    6. Kaijun Lin & Junyong Wu & Di Liu & Dezhi Li & Taorong Gong, 2018. "Energy Management of Combined Cooling, Heating and Power Micro Energy Grid Based on Leader-Follower Game Theory," Energies, MDPI, vol. 11(3), pages 1-21, March.
    7. Luciana Marques & Wadaed Uturbey & Miguel Heleno, 2021. "An Integer Non-Cooperative Game Approach for the Transactive Control of Thermal Appliances in Energy Communities," Energies, MDPI, vol. 14(21), pages 1-22, October.

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