Smart Grid Monitoring Using Power Line Modems: Effect of Anomalies on Signal Propagation

The aim of this paper is to provide the theoretical fundamentals needed to monitor power grids using high-frequency sensors. In our context, network monitoring refers to the harvesting of different kinds of information: topology of the grid, load changes, presence of faults, and cable degradation. W...

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Main Authors: Federico Passerini, Andrea M. Tonello
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8653266/
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spelling doaj-0ee7f80bed6c4980a9d4c22dff02d5232021-03-29T22:30:08ZengIEEEIEEE Access2169-35362019-01-017273022731210.1109/ACCESS.2019.29018618653266Smart Grid Monitoring Using Power Line Modems: Effect of Anomalies on Signal PropagationFederico Passerini0Andrea M. Tonello1https://orcid.org/0000-0002-9873-2407Chair of Embedded Communication Systems, Alpen-Adria-Universität Klagenfurt, Klagenfurt, AustriaChair of Embedded Communication Systems, Alpen-Adria-Universität Klagenfurt, Klagenfurt, AustriaThe aim of this paper is to provide the theoretical fundamentals needed to monitor power grids using high-frequency sensors. In our context, network monitoring refers to the harvesting of different kinds of information: topology of the grid, load changes, presence of faults, and cable degradation. We rely on the transmission line theory to carry out a thorough analysis of how high-frequency signals, such those produced by power line communication modems, propagate through multi-conductor power networks. We also consider the presence of electrical anomalies on the network and analyze how they affect the signal propagation. In this context, we propose two models that rely on reflectometric and end-to-end measurements to extrapolate information about possible anomalies. An in-depth discussion is carried out to explain the properties of each model and measurement method, in order to enable the development of appropriate anomaly detection and location algorithms.https://ieeexplore.ieee.org/document/8653266/Smart gridnetwork monitoringfault detectioncable agingtopology derivationgrid anomalies
collection DOAJ
language English
format Article
sources DOAJ
author Federico Passerini
Andrea M. Tonello
spellingShingle Federico Passerini
Andrea M. Tonello
Smart Grid Monitoring Using Power Line Modems: Effect of Anomalies on Signal Propagation
IEEE Access
Smart grid
network monitoring
fault detection
cable aging
topology derivation
grid anomalies
author_facet Federico Passerini
Andrea M. Tonello
author_sort Federico Passerini
title Smart Grid Monitoring Using Power Line Modems: Effect of Anomalies on Signal Propagation
title_short Smart Grid Monitoring Using Power Line Modems: Effect of Anomalies on Signal Propagation
title_full Smart Grid Monitoring Using Power Line Modems: Effect of Anomalies on Signal Propagation
title_fullStr Smart Grid Monitoring Using Power Line Modems: Effect of Anomalies on Signal Propagation
title_full_unstemmed Smart Grid Monitoring Using Power Line Modems: Effect of Anomalies on Signal Propagation
title_sort smart grid monitoring using power line modems: effect of anomalies on signal propagation
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description The aim of this paper is to provide the theoretical fundamentals needed to monitor power grids using high-frequency sensors. In our context, network monitoring refers to the harvesting of different kinds of information: topology of the grid, load changes, presence of faults, and cable degradation. We rely on the transmission line theory to carry out a thorough analysis of how high-frequency signals, such those produced by power line communication modems, propagate through multi-conductor power networks. We also consider the presence of electrical anomalies on the network and analyze how they affect the signal propagation. In this context, we propose two models that rely on reflectometric and end-to-end measurements to extrapolate information about possible anomalies. An in-depth discussion is carried out to explain the properties of each model and measurement method, in order to enable the development of appropriate anomaly detection and location algorithms.
topic Smart grid
network monitoring
fault detection
cable aging
topology derivation
grid anomalies
url https://ieeexplore.ieee.org/document/8653266/
work_keys_str_mv AT federicopasserini smartgridmonitoringusingpowerlinemodemseffectofanomaliesonsignalpropagation
AT andreamtonello smartgridmonitoringusingpowerlinemodemseffectofanomaliesonsignalpropagation
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