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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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    Cited by:

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    2. 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.
    3. Chenchen Ge & Muyang Liu & Junru Chen, 2022. "Modeling of Direct-Drive Permanent Magnet Synchronous Wind Power Generation System Considering the Power System Analysis in Multi-Timescales," Energies, MDPI, vol. 15(20), pages 1-19, October.
    4. Chen, Yang & Cheng, Liang & Lee, Chien-Chiang, 2022. "How does the use of industrial robots affect the ecological footprint? International evidence," Ecological Economics, Elsevier, vol. 198(C).
    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.
    6. Billy Muhando, Endusa & Senjyu, Tomonobu & Urasaki, Naomitsu & Yona, Atsushi & Kinjo, Hiroshi & Funabashi, Toshihisa, 2007. "Gain scheduling control of variable speed WTG under widely varying turbulence loading," Renewable Energy, Elsevier, vol. 32(14), pages 2407-2423.
    7. Bảo-Huy Nguyễn & João Pedro F. Trovão & Ronan German & Alain Bouscayrol, 2020. "Real-Time Energy Management of Parallel Hybrid Electric Vehicles Using Linear Quadratic Regulation," Energies, MDPI, vol. 13(21), pages 1-19, October.
    8. Zghal, Wissem & Kantchev, Gueorgui & Kchaou, Hédi, 2011. "Optimization and management of the energy produced by a wind energizing system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1080-1088, February.

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