Credibility-driven pricing settlements in peer-to-peer energy trading using blockchain technology

IF 5.9 Q2 ENERGY & FUELS

Renewable Energy Focus Pub Date : 2025-08-19 DOI:10.1016/j.ref.2025.100749

Ashish Shukla, Parul Mathuria

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Abstract

Blockchain-enabled peer-to-peer electricity trading using behind-the-meter deployment encourages users to increase their utilisation of renewable energy while consuming energy within the local energy markets (LEMs). Effective pricing settlements can assist mutual trust among users and encourage them to participate in trading. In this work, we focus on pricing settlement and present a novel score-based model aimed at accelerating stable P2P trading by increasing the number of pricing settlements among participants and minimising trading (or power delivery agreements) failures without incurring any financial loss. We present a credibility-based score model to better manage the larger differences in offered prices between sellers and buyers. In particular, the algorithm analyses historical transactions to calculate the credibility score between the seller and buyer. This score falls within the user’s threshold range, allowing for price adjustments during pricing settlement. Simulation results show that more successful trading transactions encourage participation despite wider price differentials between ToU and FiT rates and mitigating financial losses for users.

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使用区块链技术的点对点能源交易中信用驱动的定价结算

使用表后部署的区块链支持的点对点电力交易鼓励用户在当地能源市场（lem）内消耗能源的同时增加可再生能源的利用率。有效的定价结算有助于用户之间的相互信任，鼓励用户参与交易。在这项工作中，我们专注于定价结算，并提出了一个新的基于分数的模型，旨在通过增加参与者之间的定价结算数量和最小化交易（或电力交付协议）失败而不产生任何经济损失来加速稳定的P2P交易。我们提出了一个基于可信度的评分模型，以更好地管理卖家和买家之间报价的较大差异。特别是，该算法通过分析历史交易来计算买卖双方之间的信用评分。这个分数落在用户的阈值范围内，允许在定价结算期间进行价格调整。模拟结果表明，尽管分时电价和上网电价之间的价差更大，但更成功的交易鼓励了用户的参与，并减轻了用户的经济损失。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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