Paper Info
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's reliability, which is situational awareness and discuss the role that the edge computing can play to enhance this operation b) 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.
Year
DOI
Venue
2019
10.1109/GCWkshps45667.2019.9024632
2019 IEEE GLOBECOM WORKSHOPS (GC WKSHPS)
Keywords
DocType
ISSN
Internet of Things, Smart Grids, Edge Computing, Fog Computing, Energy Data Analytics, Situational Awareness, State Estimation
Conference
2166-0069
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Md. Abul Hasnat100.68
Md. Jakir Hossain200.68
Adetola Adeniran300.34
Mahshid Rahnamay-Naeini4276.31
Hana Khamfroush57511.84