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Wind Turbine Driving a PM Synchronous Generator Using Novel Recurrent Chebyshev Neural Network Control with the Ideal Learning Rate

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  • Chih-Hong Lin

    (Department of Electrical Engineering, National Uinted University, Miaoli 36063, Taiwan)

Abstract

A permanent magnet (PM) synchronous generator system driven by wind turbine (WT), connected with smart grid via AC-DC converter and DC-AC converter, are controlled by the novel recurrent Chebyshev neural network (NN) and amended particle swarm optimization (PSO) to regulate output power and output voltage in two power converters in this study. Because a PM synchronous generator system driven by WT is an unknown non-linear and time-varying dynamic system, the on-line training novel recurrent Chebyshev NN control system is developed to regulate DC voltage of the AC-DC converter and AC voltage of the DC-AC converter connected with smart grid. Furthermore, the variable learning rate of the novel recurrent Chebyshev NN is regulated according to discrete-type Lyapunov function for improving the control performance and enhancing convergent speed. Finally, some experimental results are shown to verify the effectiveness of the proposed control method for a WT driving a PM synchronous generator system in smart grid.

Suggested Citation

  • Chih-Hong Lin, 2016. "Wind Turbine Driving a PM Synchronous Generator Using Novel Recurrent Chebyshev Neural Network Control with the Ideal Learning Rate," Energies, MDPI, vol. 9(6), pages 1-25, June.
  • Handle: RePEc:gam:jeners:v:9:y:2016:i:6:p:441-:d:71721
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    References listed on IDEAS

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    1. Yun-Su Kim & Il-Yop Chung & Seung-Il Moon, 2015. "Tuning of the PI Controller Parameters of a PMSG Wind Turbine to Improve Control Performance under Various Wind Speeds," Energies, MDPI, vol. 8(2), pages 1-20, February.
    2. Ulas Eminoglu & Saffet Ayasun, 2014. "Modeling and Design Optimization of Variable-Speed Wind Turbine Systems," Energies, MDPI, vol. 7(1), pages 1-18, January.
    3. Hamrouni, N. & Jraidi, M. & Chérif, A., 2008. "New control strategy for 2-stage grid-connected photovoltaic power system," Renewable Energy, Elsevier, vol. 33(10), pages 2212-2221.
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    Cited by:

    1. Shoudao Huang & Yang Zhang & Sijia Hu, 2016. "Stator Current Harmonic Reduction in a Novel Half Quasi-Z-Source Wind Power Generation System," Energies, MDPI, vol. 9(10), pages 1-15, September.

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