Comprehensive analysis of smart grids functionalities virtualization

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS
Laura Lázaro-Elorriaga , David Guerra , Imanol García-Pastor , Cristina Martínez , Eutimio Sanchez , Eugenio Perea
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引用次数: 0

Abstract

The implementation of advanced digital technologies in the conventional electric grid has triggered a transformation towards an intelligent network, known as Smart Grid. The associated benefits are diverse, ranging from more efficient energy management and demand response to the distributed integration of renewable energy sources. Ultimately, this transition promotes a more reliable, sustainable, and cost-effective energy supply. In this context, there is increasing recognition of the advantages of employing intelligent at edge to provide redundancy, virtualize functions that were previously in different proprietary hardware in the same device, or introduce new functionalities into the electric grid. This study focuses on conducting a comprehensive analysis on the key aspects to consider when implementing virtualized solutions in substations. Strategies have been sought to ensure the optimal deployment of virtualized nodes within the electrical sector, taking into account factors such as functional requirements, facility types, virtualization methodologies, and node specifications, among others. Furthermore, throughout the study, several virtualization tools have been analysed to determine their feasibility and the advantages they offer when integrated into the Smart Grid.

智能电网功能虚拟化综合分析
在传统电网中采用先进的数字技术引发了向智能网络(即智能电网)的转变。与之相关的好处多种多样,从更高效的能源管理和需求响应,到可再生能源的分布式整合,不一而足。归根结底,这种转型促进了更可靠、更可持续和更具成本效益的能源供应。在此背景下,越来越多的人认识到在边缘采用智能设备的优势,如提供冗余、虚拟化以前在同一设备的不同专有硬件中的功能,或为电网引入新的功能。本研究侧重于全面分析在变电站实施虚拟化解决方案时需要考虑的关键方面。考虑到功能要求、设施类型、虚拟化方法和节点规格等因素,本研究寻求了确保在电力行业内优化部署虚拟化节点的策略。此外,在整个研究过程中,还对几种虚拟化工具进行了分析,以确定其在集成到智能电网中时的可行性和优势。
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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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