Internet of Things Technologies for Smart Grid

Author:

Ben Dhaou Imed Saad1,Kondoro Aron2,Kakakhel Syed Rameez Ullah3ORCID,Westerlund Tomi3ORCID,Tenhunen Hannu4

Affiliation:

1. Qassim University, Saudi Arabia & The University of Monastir, Tunisia

2. Royal Institute of Technology, Sweden & University of Dar es Salaam, Tanzania

3. University of Turku, Finland

4. Royal Institute of Technology, Sweden

Abstract

Smart grid is a new revolution in the energy sector in which the aging utility grid will be replaced with a grid that supports two-way communication between customers and the utility company. There are two popular smart-grid reference architectures. NIST (National Institute for Standards and Technology) has drafted a reference architecture in which seven domains and actors have been identified. The second reference architecture is elaborated by ETSI (European Telecommunications Standards Institute), which is an extension of the NIST model where a new domain named distributed energy resources has been added. This chapter aims at identifying the use of IoT and IoT-enabled technologies in the design of a secure smart grid using the ETSI reference model. Based on the discussion and analysis in the chapter, the authors offer two collaborative and development frameworks. One framework draws parallels' between IoT and smart grids and the second one between smart grids and edge computing. These frameworks can be used to broaden collaboration between the stakeholders and identify research gaps.

Publisher

IGI Global

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Intelligent Grid Edge Computing Application Research Utilising the Internet of Things (IoT);2023 International Conference on Data Science & Informatics (ICDSI);2023-08-12

2. Implementation of the Internet of Things Technology in the Smart Power Grid;2023 10th Iranian Conference on Renewable Energy & Distributed Generation (ICREDG);2023-03-15

3. An Enhanced Internet of Things Enabled Type-2 Fuzzy Logic for Healthcare System Applications;Recent Trends on Type-2 Fuzzy Logic Systems: Theory, Methodology and Applications;2023

4. The Transition Toward Merging Big Data Analytics, IoT, and Artificial Intelligence with Blockchain in Transactive Energy Markets;2022 Global Energy Conference (GEC);2022-10-26

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