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Microgrids (MGs) are considered as a solution for the integration and smooth operation of DERs in the distribution system. To tackle the demand–supply mismatch in the MGs is a big challenge due to the intermittency of renewable energy resources (PV, wind, etc.). Transactive energy (TE) is an emerging market-based technology that can be applied for the dynamic balance of demand and supply in MGs. It also opens avenues to MGs for gaining benefits by selling their surplus energy in the TE market. Peer-to-peer (P2P) energy trading mechanism is one of the emerging concept applied in the TE framework, where local market participants can negotiate directly to maximize their interests (i.e., payoffs). Market players can take decisions independently on the volume and price of energy in the P2P TE market; therefore, an approach is required for optimal decision-making. In this context, the Stackelberg game approach is applied to model the strategic interactions between the buyer and seller MGs.

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Transactive Energy Management for Microgrids: Peer-To-Peer Trading Using Stackelberg Game Approach

  • 会议论文

  • 发表日期：

    2025年

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  • Amit Kumar,
  • Prerna Jain,
  • Abhishek Harit,
  • Ashish Prajesh

摘要

Microgrids (MGs) are considered as a solution for the integration and smooth operation of DERs in the distribution system. To tackle the demand–supply mismatch in the MGs is a big challenge due to the intermittency of renewable energy resources (PV, wind, etc.). Transactive energy (TE) is an emerging market-based technology that can be applied for the dynamic balance of demand and supply in MGs. It also opens avenues to MGs for gaining benefits by selling their surplus energy in the TE market. Peer-to-peer (P2P) energy trading mechanism is one of the emerging concept applied in the TE framework, where local market participants can negotiate directly to maximize their interests (i.e., payoffs). Market players can take decisions independently on the volume and price of energy in the P2P TE market; therefore, an approach is required for optimal decision-making. In this context, the Stackelberg game approach is applied to model the strategic interactions between the buyer and seller MGs.