Comparison of Doubly-Fed Induction Generator Machine Models for Real-Time Simulations

Maximiliano Ferrari; Mark A. Buckner

doi:10.1109/PEDG.2018.8447730

Comparison of Doubly-Fed Induction Generator Machine Models for Real-Time Simulations

Maximiliano Ferrari, Mark A. Buckner

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

This work presents a detailed comparison among three implementations of the Doubly-Fed Induction Generator (DFIG) machine model. The alpha-beta-gamma, synchronous (dqo), and natural frame dynamic machine models were deployed on a Field-Programmable Gate Array (FPGA) and compared in terms of execution time and resource utilization. These machine models were also validated against a physical DFIG machine during balanced and unbalanced grid conditions. A benchmark is presented with the objective of selecting the machine model, orientation and state-space representation that is best suited for real-time simulations. The selected machine model is used to develop a real-time emulator of a Type-3 wind system. This emulator enables the study of wind turbine system in realtime using a validated platform while allowing controller testing without relying on expensive third-party solutions.

Original language	English
Title of host publication	2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781538667057
DOIs	https://doi.org/10.1109/PEDG.2018.8447730
State	Published - Aug 27 2018
Externally published	Yes
Event	9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018 - Charlotte, United States Duration: Jun 25 2018 → Jun 28 2018

Publication series

Name	2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018

Conference

Conference	9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018
Country/Territory	United States
City	Charlotte
Period	06/25/18 → 06/28/18

Funding

ACKNOWLEDGEMENT Research sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, P.O. Box 2008, Oak Ridge, Tennessee 37831-6285; managed by UT Battelle, LLC, for the U.S. Department of Energy. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 for the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.

Funders	Funder number
U.S. Department of Energy	DE-AC05-00OR22725
Oak Ridge National Laboratory
UT-Battelle

Keywords

Doubly Fed Induction Generator
Real-Time Simulations

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/PEDG.2018.8447730

Cite this

Ferrari, M., & Buckner, M. A. (2018). Comparison of Doubly-Fed Induction Generator Machine Models for Real-Time Simulations. In 2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018 Article 8447730 (2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PEDG.2018.8447730

Ferrari, Maximiliano ; Buckner, Mark A. / Comparison of Doubly-Fed Induction Generator Machine Models for Real-Time Simulations. 2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018).

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abstract = "This work presents a detailed comparison among three implementations of the Doubly-Fed Induction Generator (DFIG) machine model. The alpha-beta-gamma, synchronous (dqo), and natural frame dynamic machine models were deployed on a Field-Programmable Gate Array (FPGA) and compared in terms of execution time and resource utilization. These machine models were also validated against a physical DFIG machine during balanced and unbalanced grid conditions. A benchmark is presented with the objective of selecting the machine model, orientation and state-space representation that is best suited for real-time simulations. The selected machine model is used to develop a real-time emulator of a Type-3 wind system. This emulator enables the study of wind turbine system in realtime using a validated platform while allowing controller testing without relying on expensive third-party solutions.",

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Ferrari, M & Buckner, MA 2018, Comparison of Doubly-Fed Induction Generator Machine Models for Real-Time Simulations. in 2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018., 8447730, 2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018, Institute of Electrical and Electronics Engineers Inc., 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018, Charlotte, United States, 06/25/18. https://doi.org/10.1109/PEDG.2018.8447730

Comparison of Doubly-Fed Induction Generator Machine Models for Real-Time Simulations. / Ferrari, Maximiliano; Buckner, Mark A.
2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8447730 (2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This work presents a detailed comparison among three implementations of the Doubly-Fed Induction Generator (DFIG) machine model. The alpha-beta-gamma, synchronous (dqo), and natural frame dynamic machine models were deployed on a Field-Programmable Gate Array (FPGA) and compared in terms of execution time and resource utilization. These machine models were also validated against a physical DFIG machine during balanced and unbalanced grid conditions. A benchmark is presented with the objective of selecting the machine model, orientation and state-space representation that is best suited for real-time simulations. The selected machine model is used to develop a real-time emulator of a Type-3 wind system. This emulator enables the study of wind turbine system in realtime using a validated platform while allowing controller testing without relying on expensive third-party solutions.

AB - This work presents a detailed comparison among three implementations of the Doubly-Fed Induction Generator (DFIG) machine model. The alpha-beta-gamma, synchronous (dqo), and natural frame dynamic machine models were deployed on a Field-Programmable Gate Array (FPGA) and compared in terms of execution time and resource utilization. These machine models were also validated against a physical DFIG machine during balanced and unbalanced grid conditions. A benchmark is presented with the objective of selecting the machine model, orientation and state-space representation that is best suited for real-time simulations. The selected machine model is used to develop a real-time emulator of a Type-3 wind system. This emulator enables the study of wind turbine system in realtime using a validated platform while allowing controller testing without relying on expensive third-party solutions.

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Ferrari M, Buckner MA. Comparison of Doubly-Fed Induction Generator Machine Models for Real-Time Simulations. In 2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8447730. (2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018). doi: 10.1109/PEDG.2018.8447730

Comparison of Doubly-Fed Induction Generator Machine Models for Real-Time Simulations

Abstract

Publication series

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Funding

Keywords

UN SDGs

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