MODEL-BASED CONTROL OF UTILITY-SCALE WIND TURBINES

Monika Blackman, Rahul Sharma, Mithulan Nadarajah, and Germane Athanasius

References

  1. [1] Council, Global Wind Energy. Global wind energy outlook2012. GWEC, (November 2012).
  2. [2] Renewable energy technologies: Cost analysis series, IRENAWorking Paper, 1(5), 2012.
  3. [3] K.E. Johnson, L.Y. Pao, M.J. Balas, and L.J. Fingersh, Controlof variable-speed wind turbines: Standard and adaptive tech-niques for maximizing energy capture, IEEE Control Systems,26(3), 2006, 70–81.
  4. [4] L.Y. Pao and K.E. Johnson, Control of wind turbines, IEEEControl Systems, 31(2), 2011, 44–62.
  5. [5] E.A. Bossanyi, Individual blade pitch control for load reduction,Wind Energy, 6, 2003, 119–128.
  6. [6] R. Chedid, F. Mrad, and M. Basma. Intelligent control of aclass of wind energy conversion systems, IEEE Transaction onEnergy Conversion, 14(4), 1999, 1597–1604.
  7. [7] G. Sieros, P. Chaviaropoulos, J.D. Sorensen, B.H. Bulder,and P. Jamieson, Upscaling wind turbines: Theoretical andpractical aspects and their impact on the cost of energy, WindEnergy, 15(1), 2012, 3–17.
  8. [8] N.D. Kelley, R.M. Osgood, J.T. Bialasiewicz, andA. Jakubowski, Using wavelet analysis to assess turbulence/rotor interactions, Wind Energy, 3, 2000, 121–134.
  9. [9] K.A. Stol and L.J. Fingersh, Wind turbine field testing of state-space control designs, NREL/SR-500-35061, Golden, 2004.
  10. [10] J. Boumhidi, F.N. Farhane, and I. Boumhidi, Neural networksliding mode controller for a variable speed wind turbine,Control and Intelligent Systems, 41(4), 2013, 251–258.
  11. [11] K. Selvam, S. Kanev, J.W. van Wingerden, T. van Engelen, andM. Verhaegen, Feedback–feedforward individual pitch controlfor wind turbine load reduction, International Journal ofRobust and Nonlinear Control, 19(1), 2009, 72–91.
  12. [12] T.J. Larsen, H.A. Madsen, and K. Thomsen, Active loadreduction using individual pitch, based on local blade flowmeasurements, Wind Energy, 8, 2005, 77–80.
  13. [13] K.A. Stol and M.J. Balas, Periodic disturbance accommo-dating control for blade load mitigation in wind turbines,ASME Journal of Solar Energy Engineering, 125(4), 2003,379–385.
  14. [14] D. Schlipf, D.J. Schlipf, and M. K¨uhn, Nonlinear modelpredictive control of wind turbines using LIDAR, Wind Energy,16(7), 2013, 1107–1129.
  15. [15] E. Tofighi, T. Faulwasser, and C.M. Kellett, Nonlinear modelpredictive control approach for structural load mitigation ofwind turbines in presence of wind measurement uncertainties,Control Conference (AUCC), 2015 Fifth Australian, IEEE,Gold Coast, Australia, 2015.
  16. [16] C. Viveiros, R. Mel´icio, J.M. Igreja, and V.M.F. Mendes, Windenergy conversion system control using distinct controllers fordifferent operating regions, 2015 International Conf. on Renew-able Energy Research and Applications (ICRERA), Palermo,2015, 959–964. doi: 10.1109/ICRERA.2015.7418552.
  17. [17] S. Hur and W.E. Leithead, Model predictive and linearquadratic Gaussian control of a wind turbine, Optimisa-tion Control and Applied Methods, 38(1), 2016, 88–111. doi:10.1002/oca.2244.
  18. [18] D. Schlipf, P. Grau, S. Raach, R. Duraiski, J. Trierweiler,and P.W. Cheng, Comparison of linear and nonlinear modelpredictive control of wind turbines using LIDAR, Proceed-ings of the American Control Conference, Portland, USA,2014.
  19. [19] J.M. Jonkman and M.L. Buhl Jr., Fast user’s guide,http://wind.nrel.gov/designcodes/simulators/fast/ (accessedApr. 22, 2014), August 2005.
  20. [20] Vestas Wind Systems A/S, V90-3.0 MW: An efficientway to more power, 2008 (accessed Mar. 23, 2014),https://www.ceoe.udel.edu/File%20Library/Research/Wind%20Power/ProductbrochureV90_3_0_UK.pdf
  21. [21] M.O. Hansen, Aerodynamics of wind turbines (London Sterling,VA: Earthscan, 2008). Print. ISBN: 978-1-844-07438-9.
  22. [22] T. Burton, Wind energy handbook (Chichester, West Sussex:Wiley, 2011). Print. ISBN: 978-0-470-69975-1.
  23. [23] A.D. Wright, Modern control design for flexible wind turbines(Golden, CO: National Renewable Energy Laboratory, 2004),NREL/TP-500-35816.
  24. [24] R. Klosse and H. S¨oker, Investigations on cross talk analysis forrotor blade bending measurements (Wilhelmshaven, Germany:DEWI GmbH, 2008), http://www.dewi.de/dewi/fileadmin/pdf/publications/Publikations-/P_03_7_Klosse.pdf.
  25. [25] J.C. Barnard and L.L. Wendell, A simple method of esti-mating wind turbine blade fatigue at potential wind turbinesites, Journal of Solar Energy and Engineering, 119, 1997,174–186.
  26. [26] M. Jelavic, P. Vlaho, and P. Nedjeljk, Estimation basedindividual pitch control of wind turbine, Automatika, 51(2),2010, 181–192.
  27. [27] M. Hau, Promising load estimation methodologies for windturbine components, Upwind Deliverable, 5, 2008, 1–55.
  28. [28] G.S. Bir, User’s guide to MBC3: Multi-blade coordinatetransformation code for 3-bladed wind turbine, April 2014,http://www.nrel.gov/docs/fy10osti/44327.pdf.
  29. [29] H.K. Khalil, Nonlinear systems (Upper Saddle, NJ: Prentice-Hall, 2002).
  30. [30] N. Kelley and B. Jonkman, NWTC computer-aided engineeringtools (TurbSim), April 2014, http://wind.nrel.gov/designcodes/preprocessors/turbsim.

Important Links:

Go Back