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A distributed power sharing framework among households in microgrids: a repeated game approach


In microgrids, the integration of distributed energy resources (DERs) in the residential sector can improve power reliability, and potentially reduce power demands and carbon emissions. Improving the utilization of renewable energy in households is a critical challenge for DERs. In this regard, renewable power sharing is one of the possible solutions to tackle this problem. Even though this solution has attracted significant attention recently, most of the proposed power sharing frameworks focus more on centralized schemes. In contrast, in this paper, the performance of a proposed distributed power sharing framework is investigated. The problem is formulated as a repeated game between households in a microgrid. In this game, each household decides to cooperate and borrow/lend some amount of renewable power from/to a neighboring household, or to defect and purchase the entire demands from the main grid based on a payoff function. The Nash equilibrium of this game is characterized and the effect of the strategies taken by the households on the system is analyzed. We conduct an extensive evaluation using real demand data from 12 households of different sizes and power consumption profiles in Stockholm. Numerical results indicate that cooperation is beneficial from both an economical and environmental perspective and that households can achieve cost savings up to 20 %.

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This work was partially supported by projects TIN2013-47272-C2-2, TEC2012- 32354 and SGR-2014-881.

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Correspondence to Tarek AlSkaif.

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AlSkaif, T., Zapata, M.G., Bellalta, B. et al. A distributed power sharing framework among households in microgrids: a repeated game approach. Computing 99, 23–37 (2017).

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  • Microgrids
  • Game theory
  • Demand side management
  • Distributed energy resources
  • Electricity cost minimization problem
  • Carbon emission reduction strategies

Mathematics Subject Classification

  • 91A20 Multistage and repeated games
  • 91A10 Noncooperative games
  • 91A80 Applications of game theory
  • 68W15 Distributed algorithms
  • 68M14 Distributed systems