Smart grid health monitoring via dynamic compressive sensing

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

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

11 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationInnovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
Publication statusPublished - 2013

Structured keywords

  • Digital Health


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