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Optimal control strategy of variable wind speed generator based on Artificial Neutral Networks

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Języki publikacji
EN
Abstrakty
EN
Currently, the use of the doubly-fed induction generators is more and more justified for the aero-generators which develop electric power greater than a few megawatts. These aerogenerators characterized by their variable speed enable to capture the maximum power of the wind and ensure the production of a high quality electric power. The interest of this paper is to control an aero-generator including a doubly-fed induction machine directly connected to the grid at the stator side and via a reversible converter at the rotor site. the state control feedback law is established by considering a third reduced model with stator flux oriented simultaneously assures the dynamic decoupling of the two d-q rotor flux components and eliminates the mechanical transitory oscillations. a neuronal network radial basis function is used to approximate the control law parameters for any varying wind speed and any reactive power being imposed by the power network load flow computation. This control law permits to enhance the robustness stability of the aero-generator for any abrupt fluctuations of the wind speed and to supply the grid at the same time with a high quality of electric power.
Rocznik
Strony
423--433
Opis fizyczny
Bibliogr. 16 poz., rys.
Twórcy
autor
autor
autor
Bibliografia
  • [1] B. MULTON, G. ROBIN and H. BEN AHMED: Electrical Engineering of the wind: state of the art and researches in the wind generation field. Proc. Sixieme Conf. Des Jeunes Chercheurs en Genie Electrique JCGE’3, Saint-Nazaire, France, (2003), (in French).
  • [2] B. MULTON: Electrical energy production by renewable sources. A paraitre mi 2003 aux Techniques de l’Ingenieur, Traites de Genie Electrique, D4005-4006, (20030,(in French)
  • [3] B. MULTON, O. GERGAUD, G. ROBIN and H. BEN AHMED: Energy resources and human energy consumption. A paraitre en 2003 aux Techniques de l'Ingenieut; Traites de Genie Electrique, (2003), D3990, (in French).
  • [4] S. EL AIMANI, B. FRANCOIS, F. MINNE and B. ROBYNS: Modeling and simulation of doubly fed induction generators for variable speed wind turbines integrated in a distribution network. Proc. Multiconference on Computational Engn. in Systems Applications CESA 2003, Lille, France, (2003), CD.
  • [5] F. POITIERS, M. MACHMOUM, R. LE DOUEUFF and M. E. ZAIM: Control of a doubly-fed induction generator for wind energy conversion system. Mt. J. of Renewable Energy Engineering, 3(3), (2001), 373-378.
  • [6] S. MULLER, M. DEICKE and R. W. DE DONCKER: Doubly fed induction generator systems for wind turbines. IEEE Indust, App. Magazine, May/June 2002, pp.26-33.
  • [7] S. EL AIMANI, B. FRANCOIS, F. MINNE and B.ROBYNS: Comparison analysis of control structures for variable speed wind turbine. Proc. Multiconference on Computational Engn. in Systems Applications CESA 2003, Lille, France, (2003), CD
  • [8] E. S. ABDIN and W. XU: Control design and dynamic performance analysis of a wind turbine - induction generator unit. IEEE Trans. On Energy Conversion, 15(1), (2000).
  • [9] E. MULJADI: Pitch-controled variable-speed wind turbine generation. IEEE Trans. on Industry Applications, 37(1), (2001).
  • [10] YIFAN TANG and LONGYA XU: A flexible active an reactive power control strategy for a variable speed constant frequency generating system. IEEE Trans. Power Electronics, 10(4), (1995), 472-478.
  • [11] L. XU and W. CHENG: Torque and reactive power control of a doubly-fed induction machine by position sensorless scheme. IEEE Trans. Industry Applications, 31(3), (1995), 636-642.
  • [12] A. OUALI and L. JERBI: Calculation of the optimal operation mode of a wind wound rotor generator. Proc. IEEE JTEA Journees Tunisiennes d'electricite et d'automatique, Hammamet, Tunisie, (2004), (in French).
  • [13] L. JERBI and A. OUALI: Control of a doubly fed induction generator coupled with the electric power network. Proc. Int. Congress on the Renewable Energies and the Environment CERE 2005, Sousse, Tunisie, (2005), (in French).
  • [14] B. HOPFENSPERGER, D. J. ATKINSON and R. A. LAKIN: Stator-flux-oriented control of a doubly fed induction machine with and without position encoder. IEE Proc.-Electr. Power Appl., 147(4), (2000), 241-250.
  • [15] KWANG BO CHO and BO HYEUN WANG: Radial basics function based adaptative fuzzy systems and their applications to system identification and prediction. Information Technology Laboratory LG Electronics Research Center, 16 Woomyeon Dang. Seocho-Gu, Seoul, South Korea, 137-140.
  • [16] N. B. KARAYIANNIS: Reformulated radial basics neural networks trained by gradient descent. IEEE Trans. Neural Networks, 10(3), (1999), 657-671.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSW3-0031-0004
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