SMU Open-Source Platform for Synchronized Measurements.

data acquisition systems distributed monitoring low-cost measurement units phasor measurement unit single-board computer synchronized measurements

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
06 Jul 2022
Historique:
received: 19 05 2022
revised: 29 06 2022
accepted: 04 07 2022
entrez: 27 7 2022
pubmed: 28 7 2022
medline: 28 7 2022
Statut: epublish

Résumé

The ramping trend of cheap and performant single board computers (SBC) is growingly offering unprecedented opportunities in various domains, taking advantage of the widespread support and flexibility offered by an operating system (OS) environment. Unfortunately, data acquisition systems implemented in an OS environment are traditionally considered not to be suitable for reliable industrial applications. Such a position is supported by the lack of hardware interrupt handling and deterministic control of timed operations. In this study, the authors fill this gap by proposing an innovative and versatile SBC-based open-source platform for CPU-independent data acquisition. The synchronized measurement unit (SMU) is a high-accuracy device able to perform multichannel simultaneous sampling up to 200 kS/s with sub-microsecond synchronization precision to a GPS time reference. It exhibits very low offset and gain errors, with a minimum bandwidth beyond 20 kHz, SNR levels above 90 dB and THD as low as -110 dB. These features make the SMU particularly attractive for the power system domain, where synchronized measurements are increasingly required for the geographically distributed monitoring of grid operating conditions and power quality phenomena. We present the characterization of the SMU in terms of measurement and time synchronization accuracy, proving that this device, while low-cost, guarantees performance compliant with the requirements for synchrophasor-based applications in power systems.

Identifiants

pubmed: 35890754
pii: s22145074
doi: 10.3390/s22145074
pmc: PMC9323892
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : European Commission
ID : 957788

Auteurs

Carlo Guarnieri Calò Carducci (C)

Institute for Automation of Complex Power Systems, RWTH Aachen University, 52074 Aachen, Germany.

Marco Pau (M)

Fraunhofer Institute for Energy Economics and Energy System Technology, 34117 Kassel, Germany.

Cesar Cazal (C)

Institute for Automation of Complex Power Systems, RWTH Aachen University, 52074 Aachen, Germany.

Ferdinanda Ponci (F)

Institute for Automation of Complex Power Systems, RWTH Aachen University, 52074 Aachen, Germany.

Antonello Monti (A)

Institute for Automation of Complex Power Systems, RWTH Aachen University, 52074 Aachen, Germany.
Fraunhofer Institute for Applied Information Technology, 52074 Aachen, Germany.

Classifications MeSH