An optimized approach with 128-bit key management for IoT-enabled smart grid: enhancing efficiency, security, and sustainability

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Electrical Engineering Pub Date : 2024-07-30 DOI:10.1007/s00202-024-02636-w
R. R. Ramya, J. Banumathi
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Abstract

In the swiftly evolving arena of energy management and distribution, the integration of internet of things (IoT) technology stands as a dynamic promoter, especially within the environment of smart grid systems. Smart grids use IoT-enabled sensors to facilitate the seamless exchange of critical information through web applications and the internet, ushering in an era of enhanced grid management. These systems represent a critical aspect of modern energy infrastructure, aiming to address pressing issues such as energy efficiency, sustainability, and reliability. This integration ensures cost-effectiveness, intelligent features, and reliability while reducing the need for human intervention. IoT in smart grids emphasizes two-way communication among various devices and components. This proposed presents a novel approach to smart grid systems incorporating renewable photovoltaic (PV) and wind systems, alongside battery storage. Continuous monitoring of parameters such as V_PV, I_PV, V_DC, V_g, I_g and battery state-of-charge (SOC) is crucial for optimizing system performance. To transmit this data efficiently, suitable protocols are required. In this work, hybrid Adaptive Neuro Fuzzy Inference System-Sea Lion Optimization (ANFIS-SLnO) for effective data routing, which results in improved energy efficiency, and network lifetime. Moreover, a robust key management using 128-bit cryptography keys is implemented for secured data transfer, assuring data integrity, authentication, and enhanced protection. The outcomes of proposed smart grid system are evaluated using MATLAB and the parameters monitored using sensors is displayed via the Adafruit web application. In comparative evaluations, the proposed approach consistently outperforms existing methods, establishing itself as an efficient and resilient solution for secure data transfer within smart grids with a reduced delay of 0.10 s and packet loss of 3.54%. The time taken by the proposed work for encryption and decryption are given by 0.0022 s and 0.00315 s, respectively.

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针对物联网智能电网的 128 位密钥管理优化方法:提高效率、安全性和可持续性
在迅速发展的能源管理和分配领域,物联网(IoT)技术的整合是一个充满活力的推动因素,尤其是在智能电网系统的环境中。智能电网利用物联网传感器,通过网络应用程序和互联网促进关键信息的无缝交换,开创了一个强化电网管理的时代。这些系统代表了现代能源基础设施的一个重要方面,旨在解决能源效率、可持续性和可靠性等紧迫问题。这种集成可确保成本效益、智能功能和可靠性,同时减少对人工干预的需求。智能电网中的物联网强调各种设备和组件之间的双向通信。本文提出了一种新颖的智能电网系统方法,将可再生光伏(PV)和风能系统与电池储能结合在一起。对 V_PV、I_PV、V_DC、V_g、I_g 和电池充电状态 (SOC) 等参数的持续监控对于优化系统性能至关重要。要有效传输这些数据,需要合适的协议。在这项工作中,混合自适应神经模糊推理系统-海狮优化(ANFIS-SLnO)可实现有效的数据路由,从而提高能源效率和网络寿命。此外,还使用 128 位加密密钥实施了稳健的密钥管理,以确保数据传输安全、数据完整性、身份验证和增强保护。使用 MATLAB 对所提议的智能电网系统的结果进行了评估,并通过 Adafruit 网络应用程序显示使用传感器监测到的参数。在比较评估中,所提出的方法始终优于现有方法,成为智能电网内安全数据传输的高效弹性解决方案,延迟时间减少了 0.10 秒,数据包丢失率降低了 3.54%。拟议工作的加密和解密时间分别为 0.0022 秒和 0.00315 秒。
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来源期刊
Electrical Engineering
Electrical Engineering 工程技术-工程:电子与电气
CiteScore
3.60
自引率
16.70%
发文量
0
审稿时长
>12 weeks
期刊介绍: The journal “Electrical Engineering” following the long tradition of Archiv für Elektrotechnik publishes original papers of archival value in electrical engineering with a strong focus on electric power systems, smart grid approaches to power transmission and distribution, power system planning, operation and control, electricity markets, renewable power generation, microgrids, power electronics, electrical machines and drives, electric vehicles, railway electrification systems and electric transportation infrastructures, energy storage in electric power systems and vehicles, high voltage engineering, electromagnetic transients in power networks, lightning protection, electrical safety, electrical insulation systems, apparatus, devices, and components. Manuscripts describing theoretical, computer application and experimental research results are welcomed. Electrical Engineering - Archiv für Elektrotechnik is published in agreement with Verband der Elektrotechnik Elektronik Informationstechnik eV (VDE).
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