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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publication2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings
ISBN (Electronic)9781728109602
DOIs
StatePublished - Dec 2019
Event2019 IEEE Globecom Workshops, GC Wkshps 2019 - Waikoloa, United States
Duration: Dec 9 2019Dec 13 2019

Publication series

Name2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings

Conference

Conference2019 IEEE Globecom Workshops, GC Wkshps 2019
Country/TerritoryUnited States
CityWaikoloa
Period12/9/1912/13/19

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

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