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Tuning of the PI Controller Parameters of a PMSG Wind Turbine to Improve Control Performance under Various Wind Speeds

Author

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  • Yun-Su Kim

    (School of Electrical and Computer Engineering, Seoul National University, Seoul 151-744, Korea)

  • Il-Yop Chung

    (School of Electrical Engineering, Kookmin University, Seoul 136-702, Korea)

  • Seung-Il Moon

    (School of Electrical and Computer Engineering, Seoul National University, Seoul 151-744, Korea)

Abstract

This paper presents a method to seek the PI controller parameters of a PMSG wind turbine to improve control performance. Since operating conditions vary with the wind speed, therefore the PI controller parameters should be determined as a function of the wind speed. Small-signal modeling of a PMSG WT is implemented to analyze the stability under various operating conditions and with eigenvalues obtained from the small-signal model of the PMSG WT, which are coordinated by adjusting the PI controller parameters. The parameters to be tuned are chosen by investigating participation factors of state variables, which simplifies the problem by reducing the number of parameters to be tuned. The process of adjusting these PI controller parameters is carried out using particle swarm optimization (PSO). To characterize the improvements in the control method due to the PSO method of tuning the PI controller parameters, the PMSG WT is modeled using the MATLAB/SimPowerSystems libraries with the obtained PI controller parameters.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:2:p:1406-1425:d:45881
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    References listed on IDEAS

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    1. Llorente Iglesias, Rosario & Lacal Arantegui, Roberto & Aguado Alonso, Mónica, 2011. "Power electronics evolution in wind turbines—A market-based analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4982-4993.
    2. Abdullah, M.A. & Yatim, A.H.M. & Tan, C.W. & Saidur, R., 2012. "A review of maximum power point tracking algorithms for wind energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3220-3227.
    3. Lanzafame, R. & Messina, M., 2010. "Horizontal axis wind turbine working at maximum power coefficient continuously," Renewable Energy, Elsevier, vol. 35(1), pages 301-306.
    4. Yun-Su Kim & Il-Yop Chung & Seung-Il Moon, 2013. "An Analysis of Variable-Speed Wind Turbine Power-Control Methods with Fluctuating Wind Speed," Energies, MDPI, vol. 6(7), pages 1-16, July.
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    Cited by:

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