Markovic, U, Aristidou, P orcid.org/0000-0003-4429-0225 and Hug, G (2017) Virtual Induction Machine Strategy for Converters in Power Systems with Low Rotational Inertia. In: Proceedings of IREP’2017 Symposium. 10th Bulk Power Systems Dynamics and Control Symposium – IREP’2017, 27 Aug - 01 Sep 2017, Espinho, Portugal. IREP
Abstract
This paper presents a novel comprehensive control strategy for grid-connected Voltage Source Converters (VSCs) in power systems with low rotational inertia. The proposed model is based on emulating the physical properties of an Induction Machine (IM) and taking advantage of its inherent grid-friendly properties, i.e. self-synchronization, virtual inertia, power and frequency oscillation damping. For that purpose, a detailed mathematical model of the IMs working principles is derived, which includes the possibility of obtaining the unknown grid frequency without a dedicated synchronization unit, but rather via processing the voltage and current magnitude measurements at the converter output. This eliminates the need for an inherently nonlinear phase-locked loop, characteristic for virtual synchronous machines, while simultaneously preserving the synchronization and damping properties of a conventional electrical machine. Several case studies are presented that validate the mathematical principles of the proposed model and conclusions on VSC performance are drawn.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author produced version of a paper presented at the 10th Bulk Power Systems Dynamics and Control Symposium – IREP 2017. |
Keywords: | voltage source converter (VSC); induction machine; phase-locked loop (PLL); self-synchronization; virtual inertia emulation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Aug 2017 15:07 |
Last Modified: | 08 May 2018 09:37 |
Published Version: | http://irep2017.inesctec.pt/conference-papers |
Status: | Published |
Publisher: | IREP |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:120042 |