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<p>With the continual advancement of Internet of Things (IoT) technology, the traditional power grid is undergoing significant transformations to address the escalating challenge of supply-demand imbalances. Smart grids integrate state-of-the-art communication, metering, and control technologies to resolve issues of power imbalance and grid instability. In this paper, we propose a pricing model based on Stackelberg game theory, which employs a demand response approach and leverages user-side energy storage to optimize the interests of all stakeholders within the power grid. Additionally, we utilize blockchain technology to establish smart contracts for multiparty electricity transactions. This technology enhances the transaction process by automating the handling, storage, and transmission of transaction information. Consequently, it significantly improves the efficiency of electricity transactions, ensures fairness among all parties, and prevents redundant consumption of both electricity and currency. Experimental results indicate that the proposed method effectively addresses the issues of power imbalance and grid instability to a substantial degree.</p>

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Starkburger-game-based real-time pricing method for energy transactions in smart grid

  • 期刊论文

  • 发表日期：

    2025年5月23日

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  • Jun Sun,
  • Bin Chen,
  • Bin Li,
  • Ziyu Huang,
  • Yiwen Zhang,
  • Hui Li,
  • Xinlong Wu

摘要

With the continual advancement of Internet of Things (IoT) technology, the traditional power grid is undergoing significant transformations to address the escalating challenge of supply-demand imbalances. Smart grids integrate state-of-the-art communication, metering, and control technologies to resolve issues of power imbalance and grid instability. In this paper, we propose a pricing model based on Stackelberg game theory, which employs a demand response approach and leverages user-side energy storage to optimize the interests of all stakeholders within the power grid. Additionally, we utilize blockchain technology to establish smart contracts for multiparty electricity transactions. This technology enhances the transaction process by automating the handling, storage, and transmission of transaction information. Consequently, it significantly improves the efficiency of electricity transactions, ensures fairness among all parties, and prevents redundant consumption of both electricity and currency. Experimental results indicate that the proposed method effectively addresses the issues of power imbalance and grid instability to a substantial degree.