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Modified P&O Approach Based Detection of the Optimal Power-Speed Curve for MPPT of Wind Turbines

  • Liuying Li
  • Yaxing Ren
  • Jian Chen
  • Kai Shi
  • Lin JiangEmail author
Chapter
  • 17 Downloads

Abstract

Improving operation efficiency has gained attention for wind turbine operation and maintenance. This chapter proposes a method to dynamically calibrate the optimal power-speed curve (OPSC) based on a modified perturbation and observation (P&O) approach to improve power signal feedback (PSF) based maximum power point tracking (MPPT). The detection takes advantage of the P&O approach without detailed modelling. By controlling the wind turbine rotational speed and recording operating data, the maximum power points (MPPs) can be calculated. The OPSC is obtained from the calculated MPPs and applied in PSF control to improve the MPPT efficiency. Simulation and experimental results show that this method can effectively obtain the OPSC for wind turbines to achieve MPPT.

Keywords

Wind turbines Maximum power point tracking Power signal feedback control Perturbation and observation Power-speed curve 

References

  1. 1.
    M.A. Abdullah et al., A review of maximum power point tracking algorithms for wind energy systems. Renew. Sustain. Energy Rev. 16(5), 3220–3227 (2012)CrossRefGoogle Scholar
  2. 2.
    M. Malinowski et al., Optimized energy-conversion systems for small wind turbines: renewable energy sources in modern distributed power generation systems. IEEE Power Electron. Mag. 2(3), 16–30 (2015)MathSciNetCrossRefGoogle Scholar
  3. 3.
    S. Shamshirband, et al., RETRACTED: wind Turbine Power Coefficient Estimation by Soft Computing Methodologies: comparative Study (Elsevier, 2014)Google Scholar
  4. 4.
    Y. Xia, K.H. Ahmed, B.W. Williams, A new maximum power point tracking technique for permanent magnet synchronous generator based wind energy conversion system. IEEE Trans. Power Electron. 26(12), 3609–3620 (2011)CrossRefGoogle Scholar
  5. 5.
    I. Staffell, R. Green, How does wind farm performance decline with age? Renew. Energy 66, 775–786 (2014)CrossRefGoogle Scholar
  6. 6.
    N. Dalili, A. Edrisy, R. Carriveau, A review of surface engineering issues critical to wind turbine performance. Renew. Sustain. Energy Rev. 13(2), 428–438 (2009)CrossRefGoogle Scholar
  7. 7.
    S.M.R. Kazmi, et al., Review and critical analysis of the research papers published till date on maximum power point tracking in wind energy conversion system. in Energy Conversion Congress and Exposition (ECCE), 2010 IEEE (IEEE, 2010)Google Scholar
  8. 8.
    B. Beltran, T. Ahmed-Ali, M.E.H. Benbouzid, Sliding mode power control of variable-speed wind energy conversion systems. IEEE Trans. Energy Convers. 23(2), 551–558 (2008)CrossRefGoogle Scholar
  9. 9.
    D. Kumar, K. Chatterjee, A review of conventional and advanced MPPT algorithms for wind energy systems. Renew. Sustain. Energy Rev. 55, 957–970 (2016)CrossRefGoogle Scholar
  10. 10.
    M. Yin, et al., Modeling of the wind turbine with a permanent magnet synchronous generator for integration. in Power Engineering Society General Meeting, 2007. IEEE (IEEE, 2007)Google Scholar
  11. 11.
    A. Kumar, K. Stol, Simulating feedback linearization control of wind turbines using high-order models. Wind Energy 13(5), 419–432 (2010)CrossRefGoogle Scholar
  12. 12.
    B.L. Jonkman, TurbSim user’s guide: version 1.50. in National Renewable Energy Lab (NREL) (Golden, CO, United States, 2009)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Liuying Li
    • 1
  • Yaxing Ren
    • 1
  • Jian Chen
    • 1
  • Kai Shi
    • 1
  • Lin Jiang
    • 1
    Email author
  1. 1.Department of Electrical Engineering and ElectronicsUniversity of LiverpoolLiverpoolUK

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