Virtual Synchronous Machine Control for Doubly Fed Induction Machine-Based Wind Energy Conversion Systems

Renewable inverter-based resources (IBRs), such as wind energy conversion systems (WSs), replace directly grid-connected synchronous machines (SMs). Standard grid-following (GFL) control of IBRs decreases the power system inertia. This article proposes virtual synchronous machine (VSM)-based grid-fo...

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Main Authors: ANDRE THOMMESSEN, Christoph Michael Hackl
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Industrial Electronics Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10436334/
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author ANDRE THOMMESSEN
Christoph Michael Hackl
author_facet ANDRE THOMMESSEN
Christoph Michael Hackl
author_sort ANDRE THOMMESSEN
collection DOAJ
description Renewable inverter-based resources (IBRs), such as wind energy conversion systems (WSs), replace directly grid-connected synchronous machines (SMs). Standard grid-following (GFL) control of IBRs decreases the power system inertia. This article proposes virtual synchronous machine (VSM)-based grid-forming (GFM) control for doubly fed induction machine (DFIM)-based WSs with the following extensions: feedforward torque control (FTC) for maximum power point tracking (MPPT), MPPT compensation for accurate inertia emulation, reference power point tracking to provide energy reserves, dynamic droop saturation control to mitigate power overloading, and grid voltage control utilizing DFIM stator and rotor-side back-to-back inverter reactive power. The WSs are integrated into the IEEE 9-bus test system. Comprehensive simulation results give insights into (V)SM-based power system dynamics. Compared with existing VSM control without FTC, the proposed FTC increases the wind energy yield, i.e., typical MPPT performance is achieved, similar to GFL control. For high power penetration of IBRs, the proposed VSM control enables stable operation due to its GFM capability, whereas GFL control tends to instability. The VSM provides higher power system damping than a real SM due to adaptable internal damping. If wind power reserves are available, the fast VSM droop control provides additional damping by adapting the virtual turbine power without the dominant delays of real turbine dynamics.
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publishDate 2024-01-01
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spelling doaj-art-521491b5e67d4b1aa479db8508d4d1cb2025-01-17T00:00:54ZengIEEEIEEE Open Journal of the Industrial Electronics Society2644-12842024-01-01526430110.1109/OJIES.2024.336608210436334Virtual Synchronous Machine Control for Doubly Fed Induction Machine-Based Wind Energy Conversion SystemsANDRE THOMMESSEN0https://orcid.org/0000-0001-5300-7124Christoph Michael Hackl1https://orcid.org/0000-0001-5829-6818Laboratory for Mechatronic and Renewable Energy Systems (LMRES), Hochschule München (HM) University of Applied Sciences, Munich, GermanyLaboratory for Mechatronic and Renewable Energy Systems (LMRES), Hochschule München (HM) University of Applied Sciences, Munich, GermanyRenewable inverter-based resources (IBRs), such as wind energy conversion systems (WSs), replace directly grid-connected synchronous machines (SMs). Standard grid-following (GFL) control of IBRs decreases the power system inertia. This article proposes virtual synchronous machine (VSM)-based grid-forming (GFM) control for doubly fed induction machine (DFIM)-based WSs with the following extensions: feedforward torque control (FTC) for maximum power point tracking (MPPT), MPPT compensation for accurate inertia emulation, reference power point tracking to provide energy reserves, dynamic droop saturation control to mitigate power overloading, and grid voltage control utilizing DFIM stator and rotor-side back-to-back inverter reactive power. The WSs are integrated into the IEEE 9-bus test system. Comprehensive simulation results give insights into (V)SM-based power system dynamics. Compared with existing VSM control without FTC, the proposed FTC increases the wind energy yield, i.e., typical MPPT performance is achieved, similar to GFL control. For high power penetration of IBRs, the proposed VSM control enables stable operation due to its GFM capability, whereas GFL control tends to instability. The VSM provides higher power system damping than a real SM due to adaptable internal damping. If wind power reserves are available, the fast VSM droop control provides additional damping by adapting the virtual turbine power without the dominant delays of real turbine dynamics.https://ieeexplore.ieee.org/document/10436334/Doubly fed induction machine (DFIM)grid-following (GFL)grid-forming (GFM)synchronization stabilitypower system dynamicsreserves
spellingShingle ANDRE THOMMESSEN
Christoph Michael Hackl
Virtual Synchronous Machine Control for Doubly Fed Induction Machine-Based Wind Energy Conversion Systems
IEEE Open Journal of the Industrial Electronics Society
Doubly fed induction machine (DFIM)
grid-following (GFL)
grid-forming (GFM)
synchronization stability
power system dynamics
reserves
title Virtual Synchronous Machine Control for Doubly Fed Induction Machine-Based Wind Energy Conversion Systems
title_full Virtual Synchronous Machine Control for Doubly Fed Induction Machine-Based Wind Energy Conversion Systems
title_fullStr Virtual Synchronous Machine Control for Doubly Fed Induction Machine-Based Wind Energy Conversion Systems
title_full_unstemmed Virtual Synchronous Machine Control for Doubly Fed Induction Machine-Based Wind Energy Conversion Systems
title_short Virtual Synchronous Machine Control for Doubly Fed Induction Machine-Based Wind Energy Conversion Systems
title_sort virtual synchronous machine control for doubly fed induction machine based wind energy conversion systems
topic Doubly fed induction machine (DFIM)
grid-following (GFL)
grid-forming (GFM)
synchronization stability
power system dynamics
reserves
url https://ieeexplore.ieee.org/document/10436334/
work_keys_str_mv AT andrethommessen virtualsynchronousmachinecontrolfordoublyfedinductionmachinebasedwindenergyconversionsystems
AT christophmichaelhackl virtualsynchronousmachinecontrolfordoublyfedinductionmachinebasedwindenergyconversionsystems