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Comparative Performance of DFIG and PMSG Wind Turbines during Transient State in Weak and Strong Grid Conditions Considering Series Dynamic Braking Resistor

Author

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  • Kenneth E. Okedu

    (Department of Electrical and Communication Engineering, National University of Science and Technology, Al Hail, Muscat PC 111, Oman
    Department of Electrical and Electronic Engineering, Nisantasi University, Istanbul 25370, Turkey)

  • S. M. Muyeen

    (Department of Electrical and Electronic Engineering, Qatar University, Doha 2713, Qatar)

Abstract

The recently stipulated grid codes require wind generators to re-initiate normal power production after grid voltage sag. This paper presents a comparative performance of two commonly employed variable speed wind turbines in today’s electricity market, the doubly fed induction generator (DFIG) and the permanent magnet synchronous generator (PMSG) wind turbines. The evaluation of both wind turbines was performed for weak, normal and strong grids, considering the same machine ratings of the wind turbines. Because of the critical situations of the wind turbines during faulty conditions in the weak grids, an analysis was done considering the use of effective series dynamic braking resistor (SDBR) for both wind turbines. The grid voltage variable was employed as the signal for switching the SDBR in both wind turbines during transient state. Additionally, an overvoltage protection system was considered for both wind turbines using the DC chopper in the DC-link excitation circuitry of both wind turbines. Furthermore, a combination of the SDBR over-voltage protection scheme (OVPS) was employed in both wind turbines at weak grid condition in order to improve the performance of the variable speed wind turbines and keep the operation of the power converters within their permissible limits. Furthermore, the performance of the DFIG and PMSG wind turbines in weak grids were further investigated, considering the combination of 75% and 50% effectively sized SDBR and OVPS. It was observed that, even with a 50% reduction in SDBR or OVPS, the performance of both wind turbines is still satisfactory with faulty conditions. Therefore, it is recommended to use a combination of the SDBR and OVPS with DFIG- or PMSG-based variable speed wind turbines to achieve a superior fault ride through performance, especially in weak grids. The system performance was evaluated using the power system computer design and electromagnetic transient including DC (PSCAD/EMTDC) platform.

Suggested Citation

  • Kenneth E. Okedu & S. M. Muyeen, 2022. "Comparative Performance of DFIG and PMSG Wind Turbines during Transient State in Weak and Strong Grid Conditions Considering Series Dynamic Braking Resistor," Energies, MDPI, vol. 15(23), pages 1-22, December.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:9228-:d:994544
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    References listed on IDEAS

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    1. Sung-Won Lee & Kwan-Ho Chun, 2019. "Adaptive Sliding Mode Control for PMSG Wind Turbine Systems," Energies, MDPI, vol. 12(4), pages 1-17, February.
    2. Kenneth E. Okedu, 2022. "Augmentation of DFIG and PMSG Wind Turbines Transient Performance Using Different Fault Current Limiters," Energies, MDPI, vol. 15(13), pages 1-25, June.
    3. Qiu, Yingning & Feng, Yanhui & Infield, David, 2020. "Fault diagnosis of wind turbine with SCADA alarms based multidimensional information processing method," Renewable Energy, Elsevier, vol. 145(C), pages 1923-1931.
    4. Neeraj Priyadarshi & Vigna K. Ramachandaramurthy & Sanjeevikumar Padmanaban & Farooque Azam, 2019. "An Ant Colony Optimized MPPT for Standalone Hybrid PV-Wind Power System with Single Cuk Converter," Energies, MDPI, vol. 12(1), pages 1-23, January.
    5. García-Gracia, Miguel & Comech, M. Paz & Sallán, Jesús & Llombart, Andrés, 2008. "Modelling wind farms for grid disturbance studies," Renewable Energy, Elsevier, vol. 33(9), pages 2109-2121.
    6. Aphrodis Nduwamungu & Etienne Ntagwirumugara & Francis Mulolani & Waqar Bashir, 2020. "Fault Ride through Capability Analysis (FRT) in Wind Power Plants with Doubly Fed Induction Generators for Smart Grid Technologies," Energies, MDPI, vol. 13(16), pages 1-26, August.
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