Skip to main content

Nonlinear Modeling, Analysis and Simulation of Wind Turbine Control System With and Without Pitch Control as in Industry

  • Chapter
  • First Online:

Part of the book series: Power Systems ((POWSYS))

Abstract

This chapter introduces the state-of-the-art modeling, analysis and simulation of the wind turbine dynamics and control. The modeling part is a comprehensive time domain layout of the model currently considered by industry, such as General Electric, National Renewable Energy Lab and other major manufacturers. The time domain modeling allows for nonlinear and optimization studies for the highly nonlinear and complex wind turbine control system. Also, this allows for better understanding and intensive study of the very important Pitch control, which is crucial in wind turbine systems, for building/designing control strategies and for optimization objectives. This chapter also provides a documentation for what have been published recently (2016–2018) regarding important dynamical properties and parameter sensitivities in the wind turbine control system. In this regard, the chapter also provides a possible reduction to the wind turbine control system based on the range of wind speeds the wind turbine is exposed to. This allows scholar to study the wind turbine dynamics and control in three different regions, one of them has the Pitch control activated in the case of higher wind speeds. Moreover, the chapter provides an illustration of the dynamical stability and the possibility of approximating the wind turbine control system by multiple time scales. Additionally, The chapter provides different simulations of the system, which can be helpful for academic studies that intend to run non-autonomous scenarios. Also, we cite in a recently (2018) published work, a data validation for the model versus real measured data of the power-wind curve, which magnify the findings of our study.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Department of Energy. Energy Dept. Reports: U.S. Wind Energy Production and Manufacturing Reaches Record Highs 2013. Accessed 25 Sept 2015

    Google Scholar 

  2. Miller NW, Price WW, Sanchez-Gasca JJ (2003) Dynamic modeling of GE 1.5 and 3.6 wind turbine-generators. Report, General Electric International, Inc., Oct 2003

    Google Scholar 

  3. Clark K, Miller NW, Sanchez-Gasca JJ (2010) Modeling of GE wind turbine-generators for grid studies. Report, General Electric International, Inc., Apr 2010

    Google Scholar 

  4. Eisa SA, Wedeward K, Stone W (2016) Sensitivity analysis of a type-3 DFAG wind turbine’s dynamics with pitch control. In: 2016 IEEE green energy and systems conference (IGSEC), pp 1–6, Nov 2016

    Google Scholar 

  5. Eisa SA, Stone W, Wedeward K (2017) Mathematical modeling, stability, bifurcation analysis, and simulations of a type-3 DFIG wind turbine’s dynamics with pitch control. In: 2017 ninth annual IEEE green technologies conference (GreenTech), pp 334–341, Mar 2017

    Google Scholar 

  6. Eisa SA, Wedeward K, Stone W (2017) Time domain study of a type-3 DFIG wind turbine’s dynamics: Q drop function effect and attraction vs control limits analysis. In: 2017 ninth annual IEEE green technologies conference (GreenTech), pp 350–357, Mar 2017

    Google Scholar 

  7. Eisa SA, Stone W, Wedeward K (2018) Mathematical analysis of wind turbines dynamics under control limits: boundedness, existence, uniqueness, and multi time scale simulations. Int J Dyn Control 6(3):929–949

    Article  Google Scholar 

  8. Eisa SA, Wedeward K, Stone W (2018) Wind turbines control system: nonlinear modeling, simulation, two and three time scale approximations, and data validation. Int J Dyn Control 1–23

    Google Scholar 

  9. Eisa SA (2017) Local study of wind turbines dynamics with pitch activated: trajectories sensitivity. In: 2017 IEEE green energy and smart systems conference (IGESSC), pp 1–6, Nov 2017

    Google Scholar 

  10. Eisa SA, Stone W, Wedeward K (2017) Dynamical study of a type-3 DFIG wind turbine while transitioning from rated speed to rated power. In: 2017 IEEE green energy and smart systems conference (IGESSC), pp 1–6, Nov 2017

    Google Scholar 

  11. Eisa SA (2019)Modeling dynamics and control of type-3 dfig wind turbines: Stability, Q droop function, control limits and extreme scenarios simulation. Electr Power Syst Res 166:29–42

    Article  Google Scholar 

  12. Eisa SA (2018) Investigating periodic attractors of wind turbine dynamics with pitch activated under control limits. Nonlinear Dyn

    Google Scholar 

  13. Pourbeik P (2014) Specification of the second generation generic models for wind turbine generators. Report, Electric Power Research Institute

    Google Scholar 

  14. WECC Renewable Energy Modeling Task Force (2014) WECC wind power plant dynamic modeling guide. Report, Western Electricity Coordinating Council Modeling and Validation Work Group

    Google Scholar 

  15. Tummala A, Velamati RK, Sinha DK, Indraja V, Hari Krishna V (2016) A review on small scale wind turbines. Renew Sustain Energy Rev 56:1351–1371

    Article  Google Scholar 

  16. Rahimi M (2014) Dynamic performance assessment of dfig-based wind turbines: a review. Renew Sustain Energy Rev 37:852–866

    Article  Google Scholar 

  17. Slootweg JG, Polinder H, Kling WL (2003) General model for representing variable speed wind turbines in power system dynamics simulations. IEEE Trans Power Syst 18(1):144–151

    Article  Google Scholar 

  18. Tsourakis G, Nomikos BM, Vournas CD (2009) Effect of wind parks with doubly fed asynchronous generators on small-signal stability. Electr Power Syst Res 79(1):190–200

    Article  Google Scholar 

  19. Eisa SA (2017) Mathematical modeling and analysis of wind turbines dynamics. PhD thesis, New Mexico Institute of Mining and Technology

    Google Scholar 

  20. Working Group C4.601 (2007) Modeling and dynamic behavior of wind generation as it relates to power system control and dynamic performance. Report, CIGRE TB 328, Aug 2007

    Google Scholar 

  21. Miller NW, Sanchez-Gasca JJ, Price WW, Delmerico RW (2003) Dynamic modeling of GE 1.5 and 3.6 MW wind turbine-generators for stability simulations. In: 2003 IEEE power engineering society general meeting, July 2003

    Google Scholar 

  22. Heier S (2014) Grid integration of wind energy conversion systems, 2nd edn. Wiley

    Google Scholar 

  23. Hiskens Ian A (2012) Dynamics of type-3 wind turbine generator models. IEEE Trans Power Syst 27(1):465–474

    Article  Google Scholar 

  24. Rose J, Hiskens IA (2008) Estimating wind turbine parameters and quantifying their effects on dynamic behavior. In: IEEE power and energy society general meeting—conversion and delivery of electrical energy in the 21st century, July 2008

    Google Scholar 

  25. Yang L, Xu Z, Ostergaard J, Dong ZY, Wong KP, Ma X (2011) Oscillatory stability and eigenvalue sensitivity analysis of a DFIG wind turbine system. IEEE Trans Energy Convers 26(1)

    Article  Google Scholar 

  26. Bowen A, Huskey A, Link H, Sinclair K, Forsyth T, Jager D (2009) Small wind turbine testing results from the national renewable energy lab. In: 2009 conference and exhibition. The American wind energy association WINDPOWER, Illinois, May, Chicago

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sameh A. Eisa .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Eisa, S.A. (2019). Nonlinear Modeling, Analysis and Simulation of Wind Turbine Control System With and Without Pitch Control as in Industry. In: Precup, RE., Kamal, T., Zulqadar Hassan, S. (eds) Advanced Control and Optimization Paradigms for Wind Energy Systems. Power Systems. Springer, Singapore. https://doi.org/10.1007/978-981-13-5995-8_1

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-5995-8_1

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5994-1

  • Online ISBN: 978-981-13-5995-8

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics