Harmonic Measurement in DC: a Case for Synchrophasors

IEEE International Instrumentation and Measurement Technology Conference, pp. 1–6

Abstract

This study investigates an innovative approach in the field of monitoring algorithms in DC grids, emphasizing the potential of Multifrequency Synchrophasor Estimation (MSE) over conventional Power Quality procedures based on Total Harmonic Distortion (THD). While traditional methods deliver an idea of the harmonic presence in the signal, MSE enables the extraction of phasor parameters from the different components, offering deeper insights beyond THD metrics for monitoring, control, and protection. A specific focus is placed on the TrueDC algorithm, which leverages MSE to provide robust grid monitoring capabilities, excelling under low-frequency interference and ensuring enhanced accuracy when compared to plane average or ipDFT techniques alone. Experimental evaluations highlight the superiority of MSE, demonstrating its ability to actively compensate harmonics at the Point of Common Coupling (PCC). These findings underscore the potential of MSE in advancing DC grid automation and power quality assessment.

Authors 7

1. César Cazal Aachen Institute for Automation of Complex Power Systems

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Institute for Automation of Complex Power Systems,Aachen,Germany

2. Yoga Viknesh Kannan Aachen Institute for Automation of Complex Power Systems

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Institute for Automation of Complex Power Systems,Aachen,Germany

3. Davide Sitzia

   University of Cagliari

   Affiliation as printed

   University of Cagliari,Department of Electrical and Electronic Engineering,Cagliari,Italy

4. Guglielmo Frigo

   Swiss Federal Institute of Metrology

   Affiliation as printed

   Federal Institute of Metrology,Electrical Energy and Power Lab,Bern-Wabern,Switzerland

5. Paolo Attilio Pegoraro

   University of Cagliari

   Affiliation as printed

   University of Cagliari,Department of Electrical and Electronic Engineering,Cagliari,Italy

6. Ferdinanda Ponci Aachen Institute for Automation of Complex Power Systems

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Institute for Automation of Complex Power Systems,Aachen,Germany

7. Antonello Monti Aachen Institute for Automation of Complex Power Systems

   Fraunhofer Institute for Applied Information Technology · RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University Fraunhofer FIT,Institute for Automation of Complex Power Systems,Aachen,Germany