Edge Computing supported Fault Indication in Smart Grid

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

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-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 languageEnglish
Title of host publication2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages278-283
ISBN (Electronic)978-1-6654-3254-2
ISBN (Print)978-1-6654-3255-9
DOIs
Publication statusPublished - 1 Dec 2022
MoE publication typeA4 Article in a conference publication
Event2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm - Singapore, Singapore
Duration: 25 Oct 202228 Oct 2022

Conference

Conference2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm
Abbreviated titleSmartGridComm
Country/TerritorySingapore
CitySingapore
Period25/10/2228/10/22

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