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Model simplification and optimization of a passive wind turbine generator

Author

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  • Sareni, B.
  • Abdelli, A.
  • Roboam, X.
  • Tran, D.H.

Abstract

In this paper, the design of a “low cost full passive structure” of wind turbine system without active electronic part (power and control) is investigated. The efficiency of such device can be obtained only if the design parameters are mutually adapted through an optimization design approach. For this purpose, sizing and simulating models are developed to characterize the behavior and the efficiency of the wind turbine system. A model simplification approach is presented, allowing the reduction of computational times and the investigation of multiple Pareto-optimal solutions with a multiobjective genetic algorithm. Results show that the optimized wind turbine configurations are capable of matching very closely the behavior of active wind turbine systems which operate at optimal wind powers by using a MPPT control device.

Suggested Citation

  • Sareni, B. & Abdelli, A. & Roboam, X. & Tran, D.H., 2009. "Model simplification and optimization of a passive wind turbine generator," Renewable Energy, Elsevier, vol. 34(12), pages 2640-2650.
    • Handle: RePEc:eee:renene:v:34:y:2009:i:12:p:2640-2650
    DOI: 10.1016/j.renene.2009.04.024
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    References listed on IDEAS

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    1. Bouscayrol, A. & Delarue, Ph. & Guillaud, X., 2005. "Power strategies for maximum control structure of a wind energy conversion system with a synchronous machine," Renewable Energy, Elsevier, vol. 30(15), pages 2273-2288.
    2. Baroudi, Jamal A. & Dinavahi, Venkata & Knight, Andrew M., 2007. "A review of power converter topologies for wind generators," Renewable Energy, Elsevier, vol. 32(14), pages 2369-2385.
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    1. Casper J. J. Labuschagne & Maarten J. Kamper, 2022. "On the Design and Topology Selection of Permanent Magnet Synchronous Generators for Natural Impedance Matching in Small-Scale Uncontrolled Passive Wind Generator Systems," Energies, MDPI, vol. 15(5), pages 1-23, March.
    2. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    3. Dylan F. Jones & Graham Wall, 2016. "An extended goal programming model for site selection in the offshore wind farm sector," Annals of Operations Research, Springer, vol. 245(1), pages 121-135, October.
    4. Ounis, H. & Sareni, B. & Roboam, X. & De Andrade, A., 2016. "Multi-level integrated optimal design for power systems of more electric aircraft," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 130(C), pages 223-235.
    5. Zehua Dai & Li Wang & Lexuan Meng & Shanshui Yang & Ling Mao, 2019. "Multi-Level Modeling Methodology for Optimal Design of Electric Machines Based on Multi-Disciplinary Design Optimization," Energies, MDPI, vol. 12(21), pages 1-26, November.
    6. Aubrée, René & Auger, François & Macé, Michel & Loron, Luc, 2016. "Design of an efficient small wind-energy conversion system with an adaptive sensorless MPPT strategy," Renewable Energy, Elsevier, vol. 86(C), pages 280-291.
    7. Belouda, Malek & Jaafar, Amine & Sareni, Bruno & Roboam, Xavier & Belhadj, Jamel, 2016. "Design methodologies for sizing a battery bank devoted to a stand-alone and electronically passive wind turbine system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 144-154.
    8. K. Padmanathan & N. Kamalakannan & P. Sanjeevikumar & F. Blaabjerg & J. B. Holm-Nielsen & G. Uma & R. Arul & R. Rajesh & A. Srinivasan & J. Baskaran, 2019. "Conceptual Framework of Antecedents to Trends on Permanent Magnet Synchronous Generators for Wind Energy Conversion Systems," Energies, MDPI, vol. 12(13), pages 1-39, July.
    9. Belouda, M. & Jaafar, A. & Sareni, B. & Roboam, X. & Belhadj, J., 2013. "Integrated optimal design and sensitivity analysis of a stand alone wind turbine system with storage for rural electrification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 616-624.
    10. Yin, Peng-Yeng & Wang, Tai-Yuan, 2012. "A GRASP-VNS algorithm for optimal wind-turbine placement in wind farms," Renewable Energy, Elsevier, vol. 48(C), pages 489-498.

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