A secure energy management model for Peer-to-Peer smart grids with user-centric constraints

IF 6 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Waqas Amin , Qi Huang , Jian Li , Abdullah Aman Khan , Umashankar Subramaniam , Sivakumar Selvam
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引用次数: 0

Abstract

In today’s smart grid era, ensuring fair energy distribution while protecting participants’ data privacy is a critical challenge, particularly in Peer-to-Peer (P2P) energy trading environments. To address this challenge, this paper presents a privacy-preserving energy management model that ensures fair energy allocation based on participants’ reported information. By identifying the demand-to-supply ratio, the proposed model classifies the market operation mode either buyers’ mode or sellers’ mode and manages energy accordingly. The model employs a quorum-based architecture that integrates SHA-256 encryption and Shamir’s Secret Sharing scheme to safeguard participants’ private data against potential cyber-attacks such as Man-in-the-Middle (MitM) and False Data Injection Attacks (FDIA). Simulation results demonstrate that once the system operator receives the valid threshold shares, the original information can be successfully reconstructed. Furthermore, the simulation also indicates that the proposed model not only improves grid stress by up to 76.60% during peak hours but also transforms the grid’s role from an energy taker to an energy contributor.
基于用户中心约束的点对点智能电网安全能源管理模型
在当今的智能电网时代,确保公平的能源分配,同时保护参与者的数据隐私是一个关键的挑战,特别是在点对点(P2P)能源交易环境中。为了解决这一挑战,本文提出了一种保护隐私的能源管理模型,该模型确保了基于参与者报告信息的公平能源分配。该模型通过识别供需比,将市场运行模式分为买方模式和卖方模式,并对能源进行管理。该模型采用基于群体的架构,集成了SHA-256加密和Shamir的秘密共享方案,以保护参与者的私人数据免受潜在的网络攻击,如中间人(MitM)和虚假数据注入攻击(FDIA)。仿真结果表明,系统操作员一旦接收到有效的阈值份额,就可以成功地重建原始信息。此外,仿真结果还表明,该模型不仅使电网在高峰时段的应力提高了76.60%,而且使电网从能量摄取者转变为能量贡献者。
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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来源期刊
Internet of Things
Internet of Things Multiple-
CiteScore
3.60
自引率
5.10%
发文量
115
审稿时长
37 days
期刊介绍: Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT. The journal will place a high priority on timely publication, and provide a home for high quality. Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.
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