Situational awareness using edge-computing enabled internet of things for smart grids

Md Abul Hasnat; Md Jakir Hossain; Adetola Adeniran; Mahshid Rahnamay-Naeini; Hana Khamfroush

doi:10.1109/GCWkshps45667.2019.9024632

Situational awareness using edge-computing enabled internet of things for smart grids

Md Abul Hasnat, Md Jakir Hossain, Adetola Adeniran, Mahshid Rahnamay-Naeini, Hana Khamfroush

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

Edge computing provides an ideal platform to enable many critical and time-sensitive applications in monitoring and operation of critical cyber-physical systems, such as smart grids. In this paper, we consider one of the key operations for smart gridâ™s reliability, which is situational awareness and discuss the role that the edge computing can play to enhance this operation by providing distributed state estimation (DSE) locally at the edge nodes. We specifically focus on the network of the phasor measurement units (PMUs) as an example of the industrial internet of things in smart grids and discuss the edge-computing platform architecture to enable data analytics for DSE using the PMU time-series. We discuss that it is important to consider the physics of the smart grid in designing the edge-computing layer. As an example, we present a data-driven method for detecting power line trips using the PMU data and the designed physics-aware edge-computing platform.

Original language	English
Title of host publication	2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings
ISBN (Electronic)	9781728109602
DOIs	https://doi.org/10.1109/GCWkshps45667.2019.9024632
State	Published - Dec 2019
Event	2019 IEEE Globecom Workshops, GC Wkshps 2019 - Waikoloa, United States Duration: Dec 9 2019 → Dec 13 2019

Publication series

Name	2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings

Conference

Conference	2019 IEEE Globecom Workshops, GC Wkshps 2019
Country/Territory	United States
City	Waikoloa
Period	12/9/19 → 12/13/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Edge Computing
Energy Data Analytics
Fog Computing
Internet of Things
Situational Awareness
Smart Grids
State Estimation

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Software
Control and Optimization

UN SDGs

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

Access to Document

10.1109/GCWkshps45667.2019.9024632

Cite this

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title = "Situational awareness using edge-computing enabled internet of things for smart grids",

abstract = "Edge computing provides an ideal platform to enable many critical and time-sensitive applications in monitoring and operation of critical cyber-physical systems, such as smart grids. In this paper, we consider one of the key operations for smart grid{\^a}{\texttrademark}s reliability, which is situational awareness and discuss the role that the edge computing can play to enhance this operation by providing distributed state estimation (DSE) locally at the edge nodes. We specifically focus on the network of the phasor measurement units (PMUs) as an example of the industrial internet of things in smart grids and discuss the edge-computing platform architecture to enable data analytics for DSE using the PMU time-series. We discuss that it is important to consider the physics of the smart grid in designing the edge-computing layer. As an example, we present a data-driven method for detecting power line trips using the PMU data and the designed physics-aware edge-computing platform.",

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Hasnat, MA, Hossain, MJ, Adeniran, A, Rahnamay-Naeini, M & Khamfroush, H 2019, Situational awareness using edge-computing enabled internet of things for smart grids. in 2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings., 9024632, 2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings, 2019 IEEE Globecom Workshops, GC Wkshps 2019, Waikoloa, United States, 12/9/19. https://doi.org/10.1109/GCWkshps45667.2019.9024632

Situational awareness using edge-computing enabled internet of things for smart grids. / Hasnat, Md Abul; Hossain, Md Jakir; Adeniran, Adetola et al.

2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings. 2019. 9024632 (2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Khamfroush, Hana

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KW - Energy Data Analytics

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Situational awareness using edge-computing enabled internet of things for smart grids

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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