Smart grid health monitoring via dynamic compressive sensing.

Hao, J; Piechocki, RJ; Kaleshi, D; Chin, WH; Fan, Z

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.

Citation

Hao, J., Piechocki, R., Kaleshi, D., Chin, W., & Fan, Z. (2013, October). Smart grid health monitoring via dynamic compressive sensing. Paper presented at IEEE PES ISGT Europe 2013, Lyngby, Denmark

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: IEEE PES ISGT Europe 2013
• Start Date: Oct 6, 2013
• End Date: Oct 9, 2013
• Acceptance Date: Oct 6, 2013
• Online Publication Date: Jan 2, 2014
• Publication Date: Jan 2, 2014
• Deposit Date: Jun 15, 2023
• Journal: IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1109/ISGTEurope.2013.6695279
• Public URL: https://keele-repository.worktribe.com/output/461962
• Publisher URL: https://ieeexplore.ieee.org/document/6695279