Title :
Smart grid health monitoring via dynamic compressive sensing
Author :
Jinping Hao ; Piechocki, Robert J. ; Kaleshi, Dritan ; Woon Hau Ching ; Zhong Fan
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Bristol, Bristol, UK
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.
Keywords :
compressed sensing; electric impedance; fault location; phasor measurement; power cables; smart power grids; compressive sensing homotopy; dynamic compressive sensing; multiple fault line impedance; phasor angle data; phasor measurement unit; power line parameter; smart grid health monitoring; voltage phasor angle data; Compressed sensing; Impedance; Phasor measurement units; Power systems; Transmission line matrix methods; Transmission line measurements; Vectors; Smart grid; compressive sensing; fault location and identification; homotopy updating;
Conference_Titel :
Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES
Conference_Location :
Lyngby
DOI :
10.1109/ISGTEurope.2013.6695279