Modelling, analysis and experimental validation of clock drift effects in low-inertia power systems - CentraleSupélec Access content directly
Journal Articles IEEE Transactions on Industrial Electronics Year : 2016

Modelling, analysis and experimental validation of clock drift effects in low-inertia power systems

Abstract

Clock drift in digital controllers is of great relevance in many applications. Since almost all real clocks exhibit drifts, this applies in particular to networks composed of several individual units, each of which being operated with its individual clock. In the present work, we demonstrate via extensive experiments on a microgrid in the megawatt-range that clock drifts may impair frequency synchronisation in low-inertia power systems. The experiments also show that-in the absence of a common clock-the standard model of an inverter as an ideal voltage source does not capture this phenomenon. As a consequence, we derive a suitably modified model of an inverter-interfaced unit that incorporates the phenomenon of clock drifts. By using the derived model, we investigate the effects of clock drifts on the performance of droop-controlled grid-forming inverters with regard to frequency synchronisation and active power sharing. The modelling and analysis is validated via extensive experiments on a microgrid in the megawatt-range. Index Terms-Smart grid applications, low-inertia power systems, microgrids, grid-forming inverters, droop control, power sharing.
Fichier principal
Vignette du fichier
schiffer_etal_tie16_ortega.pdf (621.93 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01816290 , version 1 (23-06-2020)

Identifiers

Cite

Johannes Schiffer, Christian A. Hans, Thomas Kral, Roméo Ortega, Jörg Raisch. Modelling, analysis and experimental validation of clock drift effects in low-inertia power systems. IEEE Transactions on Industrial Electronics, 2016, 64 (7), pp.5942-5951. ⟨10.1109/tie.2016.2638805⟩. ⟨hal-01816290⟩
52 View
60 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More