PP-LEM:地方能源市场的高效和隐私保护清算机制

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS Sustainable Energy Grids & Networks Pub Date : 2024-07-22 DOI:10.1016/j.segan.2024.101477
Kamil Erdayandi , Mustafa A. Mustafa
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引用次数: 0

摘要

在本文中,我们提出了一种新颖的本地能源市场隐私保护清除机制(PP-LEM),旨在提高计算效率和社会福利。PP-LEM 采用了一种新颖的竞争性博弈论清算机制,以斯泰克尔伯格博弈(Stackelberg Game)为模型。在这一机制的基础上,利用部分同态加密系统开发了一个保护隐私的市场模型,允许在加密数据上执行买方的反应函数计算,而不暴露买卖双方的敏感信息。综合性能评估表明,PP-LEM 在提供激励清算机制方面非常有效,计算效率高,可在数秒内为 200 个用户清算市场,同时保护用户隐私。与现有技术相比,PP-LEM在不损害社会福利的情况下提高了计算效率,同时还保护了用户隐私。
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PP-LEM: Efficient and Privacy-Preserving Clearance Mechanism for Local Energy Markets

In this paper, we propose a novel Privacy-Preserving clearance mechanism for Local Energy Markets (PP-LEM), designed for computational efficiency and social welfare. PP-LEM incorporates a novel competitive game-theoretical clearance mechanism, modelled as a Stackelberg Game. Based on this mechanism, a privacy-preserving market model is developed using a partially homomorphic cryptosystem, allowing buyers’ reaction function calculations to be executed over encrypted data without exposing sensitive information of both buyers and sellers. The comprehensive performance evaluation demonstrates that PP-LEM is highly effective in delivering an incentive clearance mechanism with computational efficiency, enabling it to clear the market for 200 users within the order of seconds while concurrently protecting user privacy. Compared to the state of the art, PP-LEM achieves improved computational efficiency without compromising social welfare while still providing user privacy protection.

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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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