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Modeling of small wind turbines based on PMSG with diode bridge for sensorless maximum power tracking

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  • Urtasun, Andoni
  • Sanchis, Pablo
  • San Martín, Idoia
  • López, Jesús
  • Marroyo, Luis

Abstract

The Permanent Magnet Synchronous Generator (PMSG) with diode bridge is frequently used in small Wind Energy Conversion Systems (WECS). This configuration is robust and cheap, and therefore suitable for small WECS. In order to achieve Maximum Power Point Tracking (MPPT) with no mechanical sensors, it is possible to impose the relationship between the DC voltage and the DC current on the optimum operating points. However, this relationship is difficult to calculate theoretically since the whole system is involved. In fact, as there is no model of the whole system in the literature, the optimum curve IL∗(Vdc) is obtained with experimental tests or simulations. This paper develops an accurate model of the whole WECS, thereby making it possible to relate the electrical variables to the mechanical ones. With this model, it is possible to calculate the optimum curve IL∗(Vdc) from commonly-known system parameters and to control the system from the DC side. Experimental results validate the theoretical analysis and show that maximum power is extracted for actual wind speed profiles.

Suggested Citation

  • Urtasun, Andoni & Sanchis, Pablo & San Martín, Idoia & López, Jesús & Marroyo, Luis, 2013. "Modeling of small wind turbines based on PMSG with diode bridge for sensorless maximum power tracking," Renewable Energy, Elsevier, vol. 55(C), pages 138-149.
    • Handle: RePEc:eee:renene:v:55:y:2013:i:c:p:138-149
    DOI: 10.1016/j.renene.2012.12.035
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    References listed on IDEAS

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    8. Tania García-Sánchez & Arbinda Kumar Mishra & Elías Hurtado-Pérez & Rubén Puché-Panadero & Ana Fernández-Guillamón, 2020. "A Controller for Optimum Electrical Power Extraction from a Small Grid-Interconnected Wind Turbine," Energies, MDPI, vol. 13(21), pages 1-16, November.
    9. Ajami, Ali & Alizadeh, Rana & Elmi, Mahdi, 2016. "Design and control of a grid tied 6-switch converter for two independent low power wind energy resources based on PMSGs with MPPT capability," Renewable Energy, Elsevier, vol. 87(P1), pages 532-543.
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    11. Fathabadi, Hassan, 2016. "Novel high-efficient unified maximum power point tracking controller for hybrid fuel cell/wind systems," Applied Energy, Elsevier, vol. 183(C), pages 1498-1510.
    12. Rubén Bufanio & Luis Arribas & Javier de la Cruz & Timo Karlsson & Mariano Amadío & Andrés Enrique Zappa & Damián Marasco, 2022. "An Update on the Electronic Connection Issues of Low Power SWTs in AC-Coupled Systems: A Review and Case Study," Energies, MDPI, vol. 15(6), pages 1-28, March.
    13. Fantino, Roberto & Solsona, Jorge & Busada, Claudio, 2016. "Nonlinear observer-based control for PMSG wind turbine," Energy, Elsevier, vol. 113(C), pages 248-257.
    14. de Freitas, Tiara R.S. & Menegáz, Paulo J.M. & Simonetti, Domingos S.L., 2016. "Rectifier topologies for permanent magnet synchronous generator on wind energy conversion systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1334-1344.
    15. Mahela, Om Prakash & Shaik, Abdul Gafoor, 2016. "Comprehensive overview of grid interfaced wind energy generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 260-281.
    16. Abrar Ahmed Chhipa & Vinod Kumar & Raghuveer Raj Joshi & Prasun Chakrabarti & Michal Jasinski & Alessandro Burgio & Zbigniew Leonowicz & Elzbieta Jasinska & Rajkumar Soni & Tulika Chakrabarti, 2021. "Adaptive Neuro-Fuzzy Inference System-Based Maximum Power Tracking Controller for Variable Speed WECS," Energies, MDPI, vol. 14(19), pages 1-19, October.
    17. Maheshwari, Zeel & Kengne, Kamgang & Bhat, Omkar, 2023. "A comprehensive review on wind turbine emulators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 180(C).
    18. Fathabadi, Hassan, 2016. "Maximum mechanical power extraction from wind turbines using novel proposed high accuracy single-sensor-based maximum power point tracking technique," Energy, Elsevier, vol. 113(C), pages 1219-1230.

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