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Output control by hill-climbing method for a small scale wind power generating system

Author

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  • Tanaka, T.
  • Toumiya, T.
  • Suzuki, T.

Abstract

In this paper, a control method with which it is possible to extract wind energy effectively, even when the system characteristic is unknown, is suggested. With this control method, it is possible to follow the quasi-maximum output only by measurements of the load terminal voltage and current, which are relatively simple to measure with high accuracy. The hill-climbing method, among adaptive control methods, was adopted. For the purpose of confirming the effectiveness of this method, investigation by simulation using a model of a small-scale windmill generating system with a resistive load was conducted.

Suggested Citation

  • Tanaka, T. & Toumiya, T. & Suzuki, T., 1997. "Output control by hill-climbing method for a small scale wind power generating system," Renewable Energy, Elsevier, vol. 12(4), pages 387-400.
  • Handle: RePEc:eee:renene:v:12:y:1997:i:4:p:387-400
    DOI: 10.1016/S0960-1481(97)00055-4
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    Cited by:

    1. Arifujjaman, Md. & Iqbal, M. Tariq & Quaicoe, John E., 2008. "Energy capture by a small wind-energy conversion system," Applied Energy, Elsevier, vol. 85(1), pages 41-51, January.
    2. Kalantar, M. & Mousavi G., S.M., 2010. "Dynamic behavior of a stand-alone hybrid power generation system of wind turbine, microturbine, solar array and battery storage," Applied Energy, Elsevier, vol. 87(10), pages 3051-3064, October.
    3. Lin, Whei-Min & Hong, Chih-Ming, 2010. "Intelligent approach to maximum power point tracking control strategy for variable-speed wind turbine generation system," Energy, Elsevier, vol. 35(6), pages 2440-2447.
    4. Kumar, Dipesh & Chatterjee, Kalyan, 2016. "A review of conventional and advanced MPPT algorithms for wind energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 957-970.
    5. Ming-Fa Tsai & Chung-Shi Tseng & Bor-Yuh Lin, 2020. "Phase Voltage-Oriented Control of a PMSG Wind Generator for Unity Power Factor Correction," Energies, MDPI, vol. 13(21), pages 1-22, October.
    6. Narayana, M. & Putrus, G.A. & Jovanovic, M. & Leung, P.S. & McDonald, S., 2012. "Generic maximum power point tracking controller for small-scale wind turbines," Renewable Energy, Elsevier, vol. 44(C), pages 72-79.
    7. Jurado, Francisco & Saenz, José R., 2003. "An adaptive control scheme for biomass-based diesel–wind system," Renewable Energy, Elsevier, vol. 28(1), pages 45-57.
    8. Maheshwari, Zeel & Kengne, Kamgang & Bhat, Omkar, 2023. "A comprehensive review on wind turbine emulators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 180(C).
    9. Elnaggar, M. & Abdel Fattah, H.A. & Elshafei, A.L., 2014. "Maximum power tracking in WECS (Wind energy conversion systems) via numerical and stochastic approaches," Energy, Elsevier, vol. 74(C), pages 651-661.

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