Communication Technologies for Smart Grid: A Comprehensive Survey

Abrahamsen, Fredrik Ege; Ai, Yun; Cheffena, Michael

doi:10.48550/arxiv.2103.11657

Cited by 4 publications

(5 citation statements)

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“…The communication subsystem consists of different types of networks including enterprise bus, wide area networks, field area networks, and premises networks. For efficient operation of the smart grid, it is important that the communication subsystem supports the Quality of Service of data [180], is highly reliable with a high coverage [181], and guarantees security and privacy.…”

Section: ) Smart Gridmentioning

confidence: 99%

A Survey of Cyber-Physical Systems From a Game-Theoretic Perspective

et al. 2023

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With the emergence of the Internet-of-Things (IoT), artificial intelligence, and communication technologies, cyber-physical systems (CPS) have revolutionized the engineering paradigm with profound applications in many aspects of society including homes, energy, agriculture, health-care, transportation, business, and manufacturing. A CPS uses suitable computational techniques such as game theory to enable different entities to interact with one another for taking necessary actions to obtain selected objectives. Recent literature on CPS has extensively used game theory to approach a variety of technical challenges. In order to make these contributions more accessible to a broader audience, there is a need for studies that can provide readers with a comprehensive understanding of different types of CPS and their attributes, then clearly outline why game theory is relevant for modeling different aspects of CPS, and also discuss how game theory has been used in relevant literature to date. This paper bridges this gap by 1) providing a general discussion of different types of CPS and their characteristics; 2) giving an overview of different types of game-theoretic approaches; 3) explaining why game theory is appropriate for modeling different types of CPS; and 4) finally, studying how game theory has been used in different CPS types to address their challenges. Further, we also identify some key research challenges for future investigation where game theory could be applied as a potential solution.

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Section: ) Smart Gridmentioning

confidence: 99%

A Survey of Cyber-Physical Systems From a Game-Theoretic Perspective

et al. 2023

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“…Wireless technologies are more dominant in smart grid because of its interesting features such as rapid deployment, low installation cost, high mobility and flexibility. Wireless technologies include cellular communication, ZigBee, Cognitive Radio, WirelessHART and ISA100.11a Ancillotti et al, 2013;L opez-Prado et al, 2020;Abrahamsen et al, 2021). Microwave and satellite communication technologies are also appropriate solution because of its comprehensive coverage area, large bandwidth, secured data exchange and speedy placement (Al-Badi et al, 2020).…”

Section: Smart Grid Reliability Evaluationmentioning

confidence: 99%

Smart grid reliability evaluation and assessment

Mashal¹

2022

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PurposeSmart grid is an integration between traditional electricity grid and communication systems and networks. Providing reliable services and functions is a critical challenge for the success and diffusion of smart grids that needs to be addressed. The purpose of this study is to determine the critical criteria that affect smart grid reliability from the perspective of users and investigate the role big data plays in smart grid reliability.Design/methodology/approachThis study presents a model to investigate and identify criteria that influence smart grid reliability from the perspective of users. The model consists of 12 sub-criteria covering big data management, communication system and system characteristics aspects. Multi-criteria decision-making approach is applied to analyze data and prioritize the criteria using the fuzzy analytic hierarchy process based on the triangular fuzzy numbers. Data was collected from 16 experts in the fields of smart grid and Internet of things.FindingsThe results show that the “Big Data Management” criterion has a significant impact on smart grid reliability followed by the “System Characteristics” criterion. The “Data Analytics” and the “Data Visualization” were ranked as the most influential sub-criteria on smart grid reliability. Moreover, sensitivity analysis has been applied to investigate the stability and robustness of results. The findings of this paper provide useful implications for academicians, engineers, policymakers and many other smart grid stakeholders.Originality/valueThe users are not expected to actively participate in smart grid and its services without understanding their perceptions on smart grid reliability. Very few works have studied smart grid reliability from the perspective of users. This study attempts to fill this considerable gap in literature by proposing a fuzzy model to prioritize smart grid reliability criteria.

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“…Apart from the traditional power delivery characteristics, the recent transformation of the vintage power grids to a smart grid is the key for supporting a parallel advanced IP-based communications network that may further offer a myriad of broadband applications for power utilities, consumers, and third parties [1][2][3][4][5][6]. Among the available communications solutions for the smart grid, fiber optic backbone networks and BPL networks can play an important role since both technologies can exploit the already installed configurations and wired power grid infrastructure [7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…Despite its high cost in comparison with the other alternative solutions, the fiber optic technology may allow the installation of a terabit-class backbone communications network across the existing transmission and distribution power grids. Long range communications, high bandwidth, high data rates, and zero susceptibility to EMI are the killer characteristics of the fiber optic technology [7][8][9]. In this paper, a thorough investigation of the fiber optic network deployment across overhead transmission and distribution power grids is given.…”

Section: Introductionmentioning

confidence: 99%