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Power strategies for maximum control structure of a wind energy conversion system with a synchronous machine

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  • Bouscayrol, A.
  • Delarue, Ph.
  • Guillaud, X.

Abstract

The control of a wind energy conversion system can be decomposed into two parts: a local control depending on the power structure and a global control (strategy) deduced from global considerations. The local part ensures an efficient energy management of each component of the system. The local control structure can be deduced from the Energetic Macroscopic Representation, which is a graphical description of the system according to action and reaction principle. Using inversion rules, the deduced control structure is composed of a maximum of control operations and measurements. The global control part is independent of the power structure. This strategy part leads to achieve power objectives (active and reactive power targets) and system constraints (machine efficiency and DC bus limitation). Several strategies can be defined for the same system. These control decompositions are applied to a wind generation system composed of a permanent magnet synchronous generator and two three-phase converters. Simulation results are provided for a 600kW wind energy conversion system.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:30:y:2005:i:15:p:2273-2288
    DOI: 10.1016/j.renene.2005.03.005
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    References listed on IDEAS

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    1. Valtchev, Ventzislav & Van den Bossche, Alex & Ghijselen, Jozef & Melkebeek, Jan, 2000. "Autonomous renewable energy conversion system," Renewable Energy, Elsevier, vol. 19(1), pages 259-275.
    2. Smith, G.A., 1996. "A novel converter for VSCF wind turbines," Renewable Energy, Elsevier, vol. 9(1), pages 853-857.
    3. Spée, René & Bhowmik, Shibashis & Enslin, Johan H.R., 1995. "Novel control strategies for variable-speed doubly fed wind power generation systems," Renewable Energy, Elsevier, vol. 6(8), pages 907-915.
    4. Delarue, Ph. & Bouscayrol, A. & Tounzi, A. & Guillaud, X. & Lancigu, G., 2003. "Modelling, control and simulation of an overall wind energy conversion system," Renewable Energy, Elsevier, vol. 28(8), pages 1169-1185.
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    5. Fernandez, L.M. & Garcia, C.A. & Jurado, F., 2010. "Operating capability as a PQ/PV node of a direct-drive wind turbine based on a permanent magnet synchronous generator," Renewable Energy, Elsevier, vol. 35(6), pages 1308-1318.
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