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Data-driven voltage control for dual-mode power regulation in small wind turbines

Author

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  • Clavijo-Camacho, Jesus
  • Herrera, Reyes S.
  • Ruiz-Rodriguez, Francisco J.
  • Torreglosa, Juan P.

Abstract

Wind energy is a key renewable resource for sustainable power generation, with small-scale Wind Energy Conversion Systems (WECS) playing an increasingly important role in distributed generation. This paper presents a novel sensorless, voltage-based power control strategy for small wind turbines equipped with Permanent Magnet Synchronous Generators (PMSG), enabling operation in different modes: Maximum Power Point Tracking (MPPT) or dynamic power curtailment. The proposed method uses predefined Lookup Table (LUT)-based characterization, mapping wind speed, generator voltage, and power output, allowing real-time selection of the optimal voltage reference depending on the controller's mode. The control is implemented through a cascaded PI-based structure, regulating power delivery by adjusting the generator's electrical load via a DC-DC boost converter. The system supports three modes for variable wind speed: (1) extracting maximum available power (MPPT), (2) maintaining a percentage of power reserve, or (3) regulating active power delivery. This flexibility enables the system to adapt to external demands, whether for grid support or standalone operation. The method is validated through simulation and experimental testing, demonstrating stable operation, fast response to setpoint changes, and scalability to higher power levels. These results confirm the feasibility of integrating small wind turbines into ancillary services, enhancing their role in grid-support applications.

Suggested Citation

  • Clavijo-Camacho, Jesus & Herrera, Reyes S. & Ruiz-Rodriguez, Francisco J. & Torreglosa, Juan P., 2026. "Data-driven voltage control for dual-mode power regulation in small wind turbines," Energy, Elsevier, vol. 346(C).
    • Handle: RePEc:eee:energy:v:346:y:2026:i:c:s0360544226003543
    DOI: 10.1016/j.energy.2026.140252
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    References listed on IDEAS

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    1. ., 2023. "Alternative Distributions and Metrics," Chapters, in: Comparing Income Distributions, chapter 2, pages 9-44, Edward Elgar Publishing.
    2. Noriah Al-Kandari & Emad-Eldin A. A. Aly & Lakdere Benkherouf, 2023. "Harris skewed normal distribution," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 52(18), pages 6597-6615, September.
    3. Hur, Sung-ho, 2018. "Modelling and control of a wind turbine and farm," Energy, Elsevier, vol. 156(C), pages 360-370.
    4. ., 2023. "Distribution, inflation and growth in the SM model," Chapters, in: The Supermultiplier, chapter 8, pages 138-153, Edward Elgar Publishing.
    5. repec:ecr:col045:48684 is not listed on IDEAS
    6. Herbert Amezquita & Pedro M. S. Carvalho & Hugo Morais, 2023. "Wind Forecast at Medium Voltage Distribution Networks," Energies, MDPI, vol. 16(6), pages 1-23, March.
    7. Janice L. Scealy & Andrew T. A. Wood, 2023. "Score Matching for Compositional Distributions," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 118(543), pages 1811-1823, July.
    Full references (including those not matched with items on IDEAS)

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