Controlling of PMSG-Assisted Wind Energy Conversion System with Maximum Power Tracking Technique

  • Diwaker Pathak
  • Rupendra Pachauri
  • Yogesh K. Chauhan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)


This paper develops a dynamic model of small-scale wind energy conversion system (WECS) based on diode bridge rectifier and permanent magnet synchronous generator (PMSG). The simple and effective perturb and observe (P&O) algorithm has been proposed for extracting maximum power point tracking (MPPT) of wind turbine (WT) in the moderate-to-cutout wind speed region by sensing input parameters of DC–DC buck–boost converter. The MPPT algorithm in addition to the DC–DC converter is being simulated in MATLAB/Simulink software. The obtained characteristics show the effectiveness of P&O MPPT technique for extracting maximum power from the wind and delivering it appropriately to the resistive load.


DC–DC buck–boost converter Wind turbine P&O controller Permanent magnet synchronous generator (PMSG) Renewable energy 


  1. 1.
    Pathak D., Gupta A., Pachauri R.K., Chauhan Y.K.: Autonomous Operation of Wind-Battery Hybrid Power System with Intelligent Power Management Capability. In proc. of Advances in Intelligent Systems and Computing, 479(2016) 317–324.Google Scholar
  2. 2.
    Kumar H., Gupta A., Pachauri R.K., Chauhan Y.K.: PI/FL Based Blade Pitch Angle Control for Wind Turbine used in Wind Energy Conversion System. In proc. of Recent Developments in Control, Automation and Power Engineering, (2015) 15–20.Google Scholar
  3. 3.
    Pachauri R. K., Chauhan Y. K.: Mechanical Control Methods in Wind Turbine Operations for Power Generation. Journal of Automation and Control Engineering, 2(2014) 215–220.Google Scholar
  4. 4.
    Pachauri R. K., Kumar H., Gupta A., Chauhan Y. K.: Pitch Angle Controlling of Wind Turbine System Using Proportional Integral/Fuzzy Logic Controller. Smart Innovation, Systems and Technologies, 43(2015), 55–63.Google Scholar
  5. 5.
    Abdullah M.A., Yatim A.H.M., Tan C.W., Saidur, R.: A Review of Maximum Power Point Tracking Algorithms for Wind Energy Systems. Renewable and Sustainable Energy Reviews, 16(2012), 3220–3227.Google Scholar
  6. 6.
    Kesraoui M., Korichi N., Belkadi A.: Maximum Power Point Tracker of Wind Energy Conversion System. Renewable Energy, 36(2011) 2655–2662.Google Scholar
  7. 7.
    Kuo N.Y., Chih K. L.: Applying Novel Fractional Order Incremental Conductance Algorithm to Design and Study the Maximum Power Tracking of Small Wind Power Systems. Journal of Applied Research and Technology, 13(2015) 238–242.Google Scholar
  8. 8.
    Abdullah M.A., Yatim A.H.M., Tan C.W.: An online Optimum Relation Based Maximum Power Point Tracking Algorithm for Wind Energy Conversion System. In proc. of IEEE Conference of Power Engineering, (2014), 1–6.Google Scholar
  9. 9.
    Zhang H. B., Fletcher J., Greeves N., Finney S. J., Williams B. W.: One power point operation for variable speed wind/tidal stream turbines with synchronous generators. IET Renewable Power Generation, 5(2011) 99–108.Google Scholar
  10. 10.
    Samavatian V., Radan A.: A High Efficiency Input/output Magnetically Coupled Interleaved Buck–Boost Converter with Low Internal Oscillation for Fuel Cell Applications: Small Signal Modeling and Dynamic Analysis. International Journal of Electrical Power and Energy Systems, 67(2015) 261–271.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Diwaker Pathak
    • 1
  • Rupendra Pachauri
    • 2
  • Yogesh K. Chauhan
    • 1
  1. 1.Electrical Engineering Department, School of EngineeringGautam Buddha UniversityGreater NoidaIndia
  2. 2.Electronics Instrumentation and Control Engineering Department, College of Engineering StudiesUniversity of Petroleum and Energy StudiesDehradunIndia

Personalised recommendations