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Modeling and adaptive power control-designed based on tip speed r method for wind turbines

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Warianty tytułu
PL
Modelowanie i projekt adaptacyjnego sterowania mocą bazującego na metodzie określania szczytowej prędkości turbiny wiatrowej
Języki publikacji
EN
Abstrakty
EN
A simple and novel adaptive control method has been proposed to improve the efficiency of the maximum power control (MPC) technique. The proposed scheme is based on model reference adaptive power control approach using tip speed ratio method for wind turbines system (WT-s) applications to ensure the maximum energy production of a WT-s whatever the disturbances caused by variations in wind profile. The overall system model was implemented in MATLAB/Simulink® with three select mode of MPC (two conventional methods: (1) with wind speed measurement CMPCWSM and (2) with wind speed estimation CMPCWSE are compared with the proposed adaptive control method AMPC).The results demonstrate that AMPC is very effective in improving the power flow compared to the two other classical methods.
PL
Zaproponowano nową adaptacyjną metodę sterowania w celu poprawy techniki the maximum power control (MPC). Metoda bazuje na sterowaniu mocą na określaniu szczytowej prędkości turbiny w celu określenia produkcji maksimum energii przy uwzględnieniu zakłóceń powodowanych przez zmianę wiatru.
Rocznik
Strony
40--46
Opis fizyczny
Bibliogr. 30 poz., rys., tab.
Twórcy
autor
  • Electro-technical Engineering Lab (LGE), Faculty of Technology, Tahar Moulay University of Saida, BP 138 En-Nasr (20000), Algeria
  • Electro-technical Engineering Lab (LGE), Faculty of Technology, Tahar Moulay University of Saida, BP 138 En-Nasr (20000), Algeria
autor
  • Electro-technical Engineering Lab (LGE), Faculty of Technology, Tahar Moulay University of Saida, BP 138 En-Nasr (20000), Algeria
  • Mustapha Stambouli University of Mascara, BP 305 Route de Mamounia (29000), Algeria
  • Electro-technical Engineering Lab (LGE), Faculty of Technology, Tahar Moulay University of Saida, BP 138 En-Nasr (20000), Algeria
Bibliografia
  • [1] Carlin P.W., Laxson A.S., Muljadi E., The history and state of the art of variable‐speed wind turbine technology, Wind Energy, 6 (2003), No. 2, 129-159.
  • [2] Stiebler M., Wind energy systems for electric power generation, Springer Science & Business Media (2008).
  • [3] Anaya-Lara O., Jenkins N., Ekanayake J.B., Cartwright P., Hughes M., Wind energy generation modelling and control, John Wiley & Sons (2011).
  • [4] Directions W., The European Wind Industry Magazine., 1 (2012).
  • [5] Koutroulis E., Kalaitzakis K., Design of a maximum power tracking system for wind-energy-conversion applications., IEEE trans. on industrial electronics., 53 (2006), No. 2, 486-494.
  • [6] Saidur R., Islam M., Rahim N., Solangi K., A review on global wind energy policy, Renewable and Sustainable Energy Reviews., 14 (2010), No. 7, 1744-1762.
  • [7] Nadhir A., Hiyama T., Maximum power point tracking based optimal control wind energy conversion system. ACT IEEE Conference, (2010), 41-44.
  • [8] Abdullah MA., Yatim A., Tan C., Saidur R., A review of maximum power point tracking algorithms for wind energy systems. Renewable and Sustainable Energy Reviews., 16 (2012), No. 5, 3220-3227.
  • [9] Kerrouche KDE., Mezouar A., Boumediene L., Belgacem K., Modeling and optimum power control based DFIG wind energy conversion system, International Review of Electrical Engineering, 9 (2014), No. 1, 174-185.
  • [10] Shchur I., Rusek A., Biletskyi Y., Energy-shaping optimal load control of PMSG in a stand-alone wind turbine as a portcontrolled Hamiltonian system, Przeglad Elektrotechniczny, 90 (2014), No. 5, 50-55.
  • [11] Kazmi SMR., Goto H., Guo HJ., Ichinokura O., Review and critical analysis of the research papers published till date on maximum power point tracking in wind energy conversion system, ECCE IEEE Conference, (2010), 4075-4082.
  • [12] Hui J., Bakhshai A., A new adaptive control algorithm for maximum power point tracking for wind energy conversion systems, PESC IEEE Conference, (2008), 4003-4007.
  • [13] Kazmi SMR., Goto H., Guo HJ., Ichinokura O., A novel algorithm for fast and efficient speed-sensorless maximum power point tracking in wind energy conversion systems, IEEE transactions on industrial electronics, 58 (2011), No. 1, 29-36.
  • [14] Rolak M., Kot R., Malinowski M., Goryca Z., Szuster JT., AC/DC converter with Maximum Power Point Tracking algorithm for complex solution of Small Wind Turbine, Przeglad Elektrotechniczny, 87 (2011), No. 6, 91-96.
  • [15] Echchaachouai A., Elhani S., Hamouch A., Comparison of three estimators used in a sensorless MPPT strategy for a wind energy conversion chain based on a PMSG, Przeglad Elektrotechniczny, 94 (2018), No. 3, 18-22.
  • [16] Nasiri M., Milimonfared J., Fathi S., Modeling analysis and comparison of TSR and OTC methods for MPPT and power smoothing in permanent magnet synchronous generator-based wind turbines, Energy Conversion and Management, 86 (2014), 892-900.
  • [17] Wang L., Cao L., Zhao L., Non-linear tip speed ratio cascade control for variable speed high power wind turbines: a backstepping approach, IET Renewable Power Generation, 12 (2018), No. 8, 968-972.
  • [18] El Yaakoubi A., Asselman A., Djebli A., Aroudam EH., A MPPT strategy based on fuzzy control for a wind energy conversion system. Procedia Technology, 22 (2016), 697-704.
  • [19] Kerrouche KDE., Mezouar A., Boumedien L., Belgacem K., Fuzzy Logic Based Maximum Power Control of Wind Energy Generation System, The International Journal on Advanced Electrical Engineering, 1 (2013), 204-217.
  • [20] Yaylaci EK., Yazıci I., Improving Efficiency of the Tip Speed Ratio-MPPT Method for Wind Energy Systems by Using an Integral Sliding Mode Voltage Regulator, Journal of Energy Resources Technology, 140 (2018), No. 5, 1-6.
  • [21] Ganjefar S., Ghassemi AA., Ahmadi MM., Improving efficiency of two-type maximum power point tracking methods of tipspeed ratio and optimum torque in wind turbine system using a quantum neural network, Energy, 67 (2014), 444-453.
  • [22] Muyeen SM., Wind energy conversion systems: technology and trends, 1st ed. New Delhi, India: Springer; (2012).
  • [23] Kerrouche KDE, Mezouar A, Boumedien L, editors. A simple and efficient maximized power control of DFIG variable speed wind turbine. ICSC IEEE Conference, (2013), 894–899.
  • [24] Chauhan S., Sameeullah M., Dahiya R., Maximum Power Point Tracking scheme for variable speed wind generator. IICPE IEEE Conference, (2014), 1-5.
  • [25] Munteanu I., Bratcu AI., Cutululis NA., Ceanga E., Optimal control of wind energy systems: towards a global approach, Springer Science & Business Media, (2008).
  • [26] Manjock A., Design codes fast and adams for load calculations of onshore wind turbines, USA National Renewable Energy Laboratory NREL, (2005).
  • [27] Doumi Mh., Aissaoui AG., Tahour A., Abid M., Tahir K., Nonlinear integral backstepping control of wind energy conversion system based on a Double-Fed Induction Generator, Przeglad Elektrotechniczny, 92 (2016), No. 3, 130-135.
  • [28] Baran J., Jaderko A., Control of the wind turbine with aerodynamic torque estimation, Przeglad Elektrotechniczny, 94 (2018), No. 5, 47-52.
  • [29] Amrane F., Chaiba A., Mekhilef S., High performances of gridconnected DFIG based on direct power control with fixed switching frequency via MPPT strategy using MRAC and neuro-fuzzy control, Journal of Power Technologies, 96 (2016), No. 1, 27-39.
  • [30] Kerrouche KDE., Mezouar A., Boumediene L., Van den Bossche A., Speed sensor-less and robust power control of gridconnected wind turbine driven doubly fed induction generators based on flux orientation, The mediterranean journal of measurement and control, 12 (2016), No. 3, 606-618.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bb9b15a8-e6e9-4e36-9679-298c10836afe
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