Edge Computing supported Fault Indication in Smart Grid

Petra Raussi; Jorma Kilpi; Heli Kokkoniemi-Tarkkanen; Anna Kulmala; Petri Hovila

doi:10.1109/SmartGridComm52983.2022.9960979

Edge Computing supported Fault Indication in Smart Grid

Petra Raussi, Jorma Kilpi, Heli Kokkoniemi-Tarkkanen, Anna Kulmala, Petri Hovila

ABB Oy

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

The distribution of smart grid applications to different physical devices not interconnected with physical sensors has opened the possibility for software virtualization allowing flexible localization of functionalities. Harnessing wireless 5G technology enables edge computing and locating smart grid applications at the edge. In this paper, we study edge computing supporting medium voltage grid fault location, discuss the challenges and benefits of bringing smart grid applications to the edge, and demonstrate fault location operation on an edge device. The challenges and benefits undertaken for a good business case are highlighted. The demonstration shows that the total data rate in urban areas is the critical parameter, whereas latency due to large distances and the general availability of edge resources are the most significant issues in rural areas.

Original language	English
Title of host publication	2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	278-283
ISBN (Electronic)	978-1-6654-3254-2
ISBN (Print)	978-1-6654-3255-9
DOIs	https://doi.org/10.1109/SmartGridComm52983.2022.9960979
Publication status	Published - 1 Dec 2022
MoE publication type	A4 Article in a conference publication
Event	2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm - Singapore, Singapore Duration: 25 Oct 2022 → 28 Oct 2022

Conference

Conference	2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm
Abbreviated title	SmartGridComm
Country/Territory	Singapore
City	Singapore
Period	25/10/22 → 28/10/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SmartGridComm52983.2022.9960979

Cite this

Raussi, P., Kilpi, J., Kokkoniemi-Tarkkanen, H., Kulmala, A., & Hovila, P. (2022). Edge Computing supported Fault Indication in Smart Grid. In 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (pp. 278-283). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/SmartGridComm52983.2022.9960979

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title = "Edge Computing supported Fault Indication in Smart Grid",

abstract = "The distribution of smart grid applications to different physical devices not interconnected with physical sensors has opened the possibility for software virtualization allowing flexible localization of functionalities. Harnessing wireless 5G technology enables edge computing and locating smart grid applications at the edge. In this paper, we study edge computing supporting medium voltage grid fault location, discuss the challenges and benefits of bringing smart grid applications to the edge, and demonstrate fault location operation on an edge device. The challenges and benefits undertaken for a good business case are highlighted. The demonstration shows that the total data rate in urban areas is the critical parameter, whereas latency due to large distances and the general availability of edge resources are the most significant issues in rural areas.",

author = "Petra Raussi and Jorma Kilpi and Heli Kokkoniemi-Tarkkanen and Anna Kulmala and Petri Hovila",

note = "Funding Information: This paper was funded by the Finnish public funding agency for research, Business Finland under the project IFORGE. The project is a part of the 5G Test Network Finland (5GTNF) ecosystem. Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm, SmartGridComm ; Conference date: 25-10-2022 Through 28-10-2022",

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doi = "10.1109/SmartGridComm52983.2022.9960979",

language = "English",

isbn = "978-1-6654-3255-9",

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Raussi, P , Kilpi, J , Kokkoniemi-Tarkkanen, H, Kulmala, A & Hovila, P 2022, Edge Computing supported Fault Indication in Smart Grid. in 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE Institute of Electrical and Electronic Engineers, pp. 278-283, 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm, Singapore, Singapore, 25/10/22. https://doi.org/10.1109/SmartGridComm52983.2022.9960979

Edge Computing supported Fault Indication in Smart Grid. / Raussi, Petra ; Kilpi, Jorma ; Kokkoniemi-Tarkkanen, Heli et al.

2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE Institute of Electrical and Electronic Engineers, 2022. p. 278-283.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Edge Computing supported Fault Indication in Smart Grid

AU - Raussi, Petra

AU - Kilpi, Jorma

AU - Kokkoniemi-Tarkkanen, Heli

AU - Kulmala, Anna

AU - Hovila, Petri

N1 - Funding Information: This paper was funded by the Finnish public funding agency for research, Business Finland under the project IFORGE. The project is a part of the 5G Test Network Finland (5GTNF) ecosystem. Publisher Copyright: © 2022 IEEE.

PY - 2022/12/1

Y1 - 2022/12/1

N2 - The distribution of smart grid applications to different physical devices not interconnected with physical sensors has opened the possibility for software virtualization allowing flexible localization of functionalities. Harnessing wireless 5G technology enables edge computing and locating smart grid applications at the edge. In this paper, we study edge computing supporting medium voltage grid fault location, discuss the challenges and benefits of bringing smart grid applications to the edge, and demonstrate fault location operation on an edge device. The challenges and benefits undertaken for a good business case are highlighted. The demonstration shows that the total data rate in urban areas is the critical parameter, whereas latency due to large distances and the general availability of edge resources are the most significant issues in rural areas.

AB - The distribution of smart grid applications to different physical devices not interconnected with physical sensors has opened the possibility for software virtualization allowing flexible localization of functionalities. Harnessing wireless 5G technology enables edge computing and locating smart grid applications at the edge. In this paper, we study edge computing supporting medium voltage grid fault location, discuss the challenges and benefits of bringing smart grid applications to the edge, and demonstrate fault location operation on an edge device. The challenges and benefits undertaken for a good business case are highlighted. The demonstration shows that the total data rate in urban areas is the critical parameter, whereas latency due to large distances and the general availability of edge resources are the most significant issues in rural areas.

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EP - 283

BT - 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm

Y2 - 25 October 2022 through 28 October 2022

ER -

Edge Computing supported Fault Indication in Smart Grid

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Edge Computing supported Fault Indication in Smart Grid

Abstract

Conference

UN SDGs

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IntelligentEnergy testbed

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