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Smart grid health monitoring via dynamic compressive sensing

Authors: Hao, Jinping; Piechocki, Robert; Kaleshi, Dritan; Chin, Woon Hau; Fan, Zhong;

Smart grid health monitoring via dynamic compressive sensing

Abstract

This work proposes a novel method based on compressive sensing homotopy to dynamically track power line parameters with voltage phasor angle data from phasor measurement units (PMUs). In the literature, compressive sensing has already been successfully applied to locate multiple fault lines in power systems. Our solution substantially extends this work to the case where power line parameters are to be tracked in real time using phasor angle data from a subset of all buses. The new method offers a better performance both in locating the error lines and tracking the changes of line impedances.

Country
United Kingdom
Related Organizations
Keywords

/dk/atira/pure/core/keywords/digital_health, name=Digital Health, name=SPHERE, 621, SPHERE, Digital Health, /dk/atira/pure/core/keywords/eng_sphere

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    9
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Average
Average