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Dynamic Modeling and Control of BDFRG under Unbalanced Grid Conditions

Author

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  • Taufik Taluo

    (School of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia)

  • Leposava Ristić

    (School of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia)

  • Milutin Jovanović

    (Department: Mathematics, Physics and Electrical Engineering, Newcastle City Campus, Northumbria University at Newcastle, Newcastle-upon-Tyne NE1 8ST, UK)

Abstract

The Brushless Doubly-Fed Reluctance Generator (BDFRG) is a potential alternative to the Doubly Fed Induction Generator (DFIG) in wind power applications owing to its reasonable cost, competitive performance, and high reliability. In comparison with the Brushless Doubly-Fed Induction Generator (BDFIG), the BDFRG is more efficient and easier to control owing to the cage-less rotor. One of the most preferable advantages of BDFRG over DFIG is the inherently better performance under unbalanced grid conditions. The study conducted in this paper showed that conventional vector control of the BDFRG results in excessive oscillations of the primary active/reactive power, electromagnetic torque, and primary/secondary currents in this case. In order to address such limitations, this paper presented a new control strategy for the unbalanced operation of BDFRG-based wind generation systems. A modified vector control scheme was proposed with the capability to control the positive and the negative sequences of the secondary currents independently, thus greatly reducing the adverse implications of the unbalanced supply. The controller performance has been validated by simulations using a 1.5 MW BDFRG dynamical model built upon the positive and negative sequence equations. The main benefits of the new control strategy are quantified in comparison with conventional PI current control design.

Suggested Citation

  • Taufik Taluo & Leposava Ristić & Milutin Jovanović, 2021. "Dynamic Modeling and Control of BDFRG under Unbalanced Grid Conditions," Energies, MDPI, vol. 14(14), pages 1-22, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4297-:d:595588
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    1. Yassir El Karkri & Alexis B. Rey-Boué & Hassan El Moussaoui & Johannes Stöckl & Thomas I. Strasser, 2019. "Improved Control of Grid-connected DFIG-based Wind Turbine using Proportional-Resonant Regulators during Unbalanced Grid," Energies, MDPI, vol. 12(21), pages 1-21, October.
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    3. Dan Sun & Yangming Wang & Tianlong Jiang & Xiaohe Wang & Jun Sun & Heng Nian, 2020. "Multi-Target Control Strategy of DFIG Using Virtual Synchronous Generator Based on Extended Power Resonance Control under Unbalanced Power Grid," Energies, MDPI, vol. 13(9), pages 1-19, May.
    4. Imran Khan & Kamran Zeb & Waqar Ud Din & Saif Ul Islam & Muhammad Ishfaq & Sadam Hussain & Hee-Je Kim, 2019. "Dynamic Modeling and Robust Controllers Design for Doubly Fed Induction Generator-Based Wind Turbines under Unbalanced Grid Fault Conditions," Energies, MDPI, vol. 12(3), pages 1-23, January.
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    6. Omid Sadeghian & Sajjad Tohidi & Behnam Mohammadi-Ivatloo & Fazel Mohammadi, 2021. "A Comprehensive Review on Brushless Doubly-Fed Reluctance Machine," Sustainability, MDPI, vol. 13(2), pages 1-39, January.
    7. Akrama Khan & Xiao Ming Hu & Mohamed Azeem Khan & Paul Barendse, 2020. "Doubly Fed Induction Generator Open Stator Synchronized Control during Unbalanced Grid Voltage Condition," Energies, MDPI, vol. 13(12), pages 1-13, June.
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    Cited by:

    1. Minghao Zhou & Hongyu Su & Yi Liu & William Cai & Wei Xu & Dong Wang, 2021. "Full-Order Terminal Sliding-Mode Control of Brushless Doubly Fed Induction Generator for Ship Microgrids," Energies, MDPI, vol. 14(21), pages 1-20, November.
    2. Jelena Loncarski & Vito Giuseppe Monopoli & Vitor Monteiro & Leposava Ristic & Milutin Jovanović, 2022. "Efficiency and Performance Optimization of State-of-the-Art “Multi-Phase, -Level, -Cell, -Port, -Motor” Electrical Drives and Renewable Energy Systems," Energies, MDPI, vol. 15(16), pages 1-3, August.
    3. Mahmoud Rihan & Mahmoud Nasrallah & Barkat Hasanin & Adel El-Shahat, 2022. "A Proposed Controllable Crowbar for a Brushless Doubly-Fed Reluctance Generator, a Grid-Integrated Wind Turbine," Energies, MDPI, vol. 15(11), pages 1-29, May.

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