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Methods of modeling the power characteristics of wind turbines

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The work presents three methods of modeling the power characteristics of a wind turbine in the MATLAB & SIMULINK environment, that is – linear interpolation, nonlinear approximation, and linear approximation. Simulation tests were performed for two wind turbines: AH and AIRCON, with the nominal power of 10 kW. Calculations of the amount of electric energy generated by the above–mentioned types of wind turbines were performed for the constraint assumed (wind speed measurements in the south–eastern Poland for January and June 2014). The differences between the energy amounts calculated with the use of the three power characteristic modeling methods were determined. The results were summarized and final conclusions were formulated.
Słowa kluczowe
Rocznik
Tom
Strony
393--406
Opis fizyczny
Bibliogr. 30 poz., rys., tab.
Twórcy
autor
  • Poznań University of Technology
Bibliografia
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  • [3] Asmine M., Brochu J., Fortmann J., Gagnon R., Kazachkov Y., Langlois C.E., et al., Model validation for wind turbine generator models, IEEE Transactions on Power Systems, 2011, Vol. 26, No. 3, pp. 1769–1782.
  • [4] Catalogue of European Urban Wind Turbine Manufacturers. [Access: 2016–01 30]. Available in the World Wide Web at: http://www.urbanwind.net.
  • [5] Chen R., Zeng Y., Development status and research progress of modeling and simulation technique for wind power generation units, Guangdong electric power 2011, Vol. 24, No. 12, pp. 36–40.
  • [6] Dz. U. 2005 No 203 item 1684, Kyoto Protocol to the United Nations Framework Convention on Climate Change.
  • [7] Farret F.A., Simỡes M.G., Integration of Alternative Sources of Energy, John Wiley & Sons, New Jersey 2006.
  • [8] Flaga A., Wind engineering. Basics and applications, Arkady Publishing, Warsaw 2008.
  • [9] Focken U., Lange M., Heinemann D., Regional wind power prediction with risk control. Proceedings of the Global Windpower Conference, 2–5.4.2002, Paris, France.
  • [10] Gariele M., Hansen A.D., Modeling and control of variable speed wind turbines for power system studies, Wind Energy 2010, Vol. 13, pp. 307–322.
  • [11] Grid Connection of Wind Farms. Danish–Polish seminar EWISEE ’01, Nov. 22 – 23, 2001, Gdansk University of Technology, Gdansk, Poland.
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  • [13] Information on wind. [Access: 2016–01–06]. Available on the Internet at: http://www.igf.fuw.edu.pl/meteo/stacja/.
  • [14] Information on wind. [Access: 2016–01–06]. Available on the Internet at: http://meteo.ftj.agh.edu.pl/meteo/archiwalneWykresyMeteo.
  • [15] Kasprzyk L., Nawrowski R., Tomczewski A., Parallel organization of computation of luminous flux distribution by means of boundary element method, Proceedings of the Fifth International Conference on Computation in Electromagnetics, Stratford–upon–Avon 2004, UK, s. 31–32.
  • [16] Lei Y.Z., Alan M., Gordon L., er al., Modeling of the wind turbine with a doubly fed induction generator for grid integration studies, IEEE Transaction on Energy Conversion 2006, Vol. 21, No. 1, pp. 257–264.
  • [17] Lubośny Z., Wind power plants in the power system, WNT, Warsaw 2006.
  • [18] Lubośny Z., Wind farms in the power system, WNT, Warsaw 2009.
  • [19] Markowicz K., Tomczewski A., Computer–aided analysis of wind power resources, Engines and Control, 2010, no 2, pp. 80–82.
  • [20] Nielsen P., Expected long term wind variations in Northern Europe with Focus on Estonia, Sympozjum INTERREG III, 19.06.2006, Tallin, Estonia.
  • [21] Nowak L., Optimization of acyclic electromechanical converters considering dynamic states, Works no 191, Publishing House of Poznań University of Technology, Poznań 1988.
  • [22] Patel M.R., Wind and Solar Power Systems. Design, Analysis, and Operation, Taylor & Fracis, Boca Raton, London, New York, Singapure 2006.
  • [23] PN–EN 61400–2: Wind turbine sets. Part 2: Design requirements for small wind turbine sets, Polish Committee for Standardization PKN, Warsaw 2008.
  • [24] PN–EN 61400–27–1:2015–12 Wind turbine sets. Part 27–1: Electric simulation models, PKN, Warsaw 2015.
  • [25] PN–EN 61400–25–2:2016–01 Wind turbine sets. Part 25–2: Communication in the monitoring and control systems of wind power plants. Information models, PKN, Warsaw 2016.
  • [26] PN–EN 61400–25–3:2016–01 Wind turbine sets. Part 25–3: Communication in the monitoring and control systems of wind power plants. Information exchange models, PKN, Warsaw 2016.
  • [27] Tomczewski A., Technical and economic aspects of selected electric set optimization, WPP, Poznań 2014.
  • [28] Wang Y., Li Q.Q.S., A New Method of Wind Turbines Modeling Based on Combined Simulation, International Conference on Power System Technology (POWERCON 2014), Chengdu, 20 – 22 October 2014, Paper No. CP0330, pp. 2557–2563.
  • [29] Yin M., Li G., Zhou M., Zhao Ch., Modeling of the Wind Turbine with a Permanent Magnet Synchronous Generator for Integration, Proceedings of the Power Engineering Society General Meeting, Tampa 2007, USA, s. 1–6.
  • [30] Wind power resources. IMiGW presentation, Warsaw, Poland. [Access: 2016– 02–05]. Available on the Internet at: http://www.imgw.pl.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ec51b000-56b3-4c33-a1db-93396e323c2b
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