Cloud-based IoT solution for state estimation in smart grids: Exploiting virtualization and edge-intelligence technologies

Meloni, Alessio; Pegoraro, Paolo Attilio; Atzori, Luigi; Benigni, Andrea; Sulis, Sara

doi:10.1016/j.comnet.2017.10.008

Cited by 63 publications

(29 citation statements)

References 35 publications

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“…SDN monitoring and management infrastructure will be built on different communication and computation systems (see Section 5 for a deeper discussion on this topic), depending on the technical and economic constraints of the DSO and of the corresponding regulations. For these reasons, new solutions are needed for a better integration of instrumentation and communication: among other aspects, latency [56] and PMU reporting rates can be managed dynamically [57,58]. In particular, in an Internet of Things (IoT) perspective (see Section 5) virtualization of measurement devices [58] can be exploited to deal with different protocols and to cope with different generation of devices (e.g., PMUs compliant with different versions of the standard) and different manufacturers (which means different measurement algorithms and specifications).…”

Section: Synchronized Measurement Systemsmentioning

confidence: 99%

A Multidisciplinary Approach for the Development of Smart Distribution Networks

et al. 2018

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Electric power systems are experiencing relevant changes involving the growing penetration of distributed generation and energy storage systems, the introduction of electric vehicles, the management of responsive loads, the proposals for new energy markets and so on. Such an evolution is pushing a paradigm shift that is one of the most important challenges in power network design: the management must move from traditional planning and manual intervention to full “smartization” of medium and low voltage networks. Peculiarities and criticalities of future power distribution networks originate from the complexity of the system which includes both the physical aspects of electric networks and the cyber aspects, like data elaboration, feature extraction, communication, supervision and control; only fully integrated advanced monitoring systems can foster this transition towards network automation. The design and development of such future networks require distinct kinds of expertise in the industrial and information engineering fields. In this context, this paper provides a comprehensive review of current challenges and multidisciplinary interactions in the development of smart distribution networks. The aim of this paper is to discuss, in an integrated and organized manner, the state of the art while focusing on the need for interaction between different disciplines and highlighting how innovative and future-proof outcomes of both research and practice can only emerge from a coordinated design of all the layers in the smart distribution network architecture.

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Section: Synchronized Measurement Systemsmentioning

confidence: 99%

A Multidisciplinary Approach for the Development of Smart Distribution Networks

et al. 2018

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“…Karhula, Mäkelä, Rivas, and Valta have focused on the IoT connectivity challenges by designing and assessing an IoT gateway, which uses functionality virtualization methods. The functionality of the gateway is managed as containers, which can be provided, updated, run, and removed rapidly.…”

Section: Review Of Selected Papersmentioning

confidence: 99%

A comprehensive and systematic review of the network virtualization techniques in the IoT

Ramakrishnan

Shabbir

Kassim

et al. 2020

Int J Communication

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Internet of Things (IoT) as one of the last technology in the network domain is an environment of associated physical objects that are reachable through the Internet. Virtualization as the primary technology of IoT has a significant role in its popularization. The visualization strategies have a great impact on the IoT, but, as far as we know, there is not a comprehensive and systematic study in this field. Also, there is no systematic and complete way to discuss and analyze the related strategies. Henceforth, a systematic survey of virtualization techniques is presented in this paper. Different parameters based on the examination of the prevailing methods are considered in three main categorizations. Furthermore, the benefits and weaknesses connected with selected techniques have been discussed, and the significant issues of these techniques are addressed to improve the more efficient virtualization technique for the future. K E Y W O R D SCloud, Fog, network, Internet of Things, systematic literature review, virtualization

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“…SDN monitoring and management infrastructure will be built on different communication and computation systems (see Section 4 for a deeper discussion on this topic), depending on the technical and economic constraints of the DSO and of the corresponding regulations. For these reasons, new solutions are needed for a better integration of instrumentation and communication: among other aspects, latency [56] and PMU reporting rates can be managed dynamically [57,58].…”

Section: Synchronized Measurement Systemsmentioning

confidence: 99%

Multidisciplinary Approach for the Development of Smart Distribution Networks

Ghiani¹,

Serpi²,

Pilloni³

et al. 2018

Preprint

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Electric power systems are experiencing relevant changes involving the growing penetration of distributed generation and energy storage systems, the introduction of electric vehicles, the management of responsive loads, the proposals for new energy markets and so on. Such evolution is pushing for a paradigm shift: the management must move from traditional planning and manual intervention to full "smartization" of medium and low voltage networks. Peculiarities and criticalities of future power distribution networks originate from the complexity of the system that includes both the physical aspects of electric networks and the cyber aspects, like data elaboration, feature extraction, communication, supervision and control; only fully integrated advanced monitoring systems can foster this transition towards network automation. The design and development of such future networks require distinct kinds of expertise in the industrial and information engineering fields. In this context, this paper provides a comprehensive review of current challenges and multidisciplinary interactions in the development of smart distribution networks.

show abstract

Cloud-based IoT solution for state estimation in smart grids: Exploiting virtualization and edge-intelligence technologies

Cited by 63 publications

References 35 publications

A Multidisciplinary Approach for the Development of Smart Distribution Networks

A Multidisciplinary Approach for the Development of Smart Distribution Networks

A comprehensive and systematic review of the network virtualization techniques in the IoT

Multidisciplinary Approach for the Development of Smart Distribution Networks

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