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Wind turbine envelope protection control over the full wind speed range

Author

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  • Petrović, Vlaho
  • Bottasso, Carlo L.

Abstract

Ensuring safe operation at all times and in all conditions is one of the primary goals of wind turbine control systems. This paper presents a novel approach for wind turbine control based on the concept of envelope riding. The proposed approach utilizes on-line numerical optimization to predict at each time instant the extremal wind speed that would lead the machine to encounter the envelope of its safe operating range. Based on this extremal condition, control inputs are computed that maintain the response within the safe region at all times, at the most riding its boundary but without ever leaving it. The method is capable of keeping the machine within its safe envelope within the entire range of operating wind speeds, including both rated and cut-out conditions.

Suggested Citation

  • Petrović, Vlaho & Bottasso, Carlo L., 2017. "Wind turbine envelope protection control over the full wind speed range," Renewable Energy, Elsevier, vol. 111(C), pages 836-848.
    • Handle: RePEc:eee:renene:v:111:y:2017:i:c:p:836-848
    DOI: 10.1016/j.renene.2017.04.021
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    Citations

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    Cited by:

    1. Golnary, Farshad & Tse, K.T., 2021. "Novel sensorless fault-tolerant pitch control of a horizontal axis wind turbine with a new hybrid approach for effective wind velocity estimation," Renewable Energy, Elsevier, vol. 179(C), pages 1291-1315.
    2. Jin, Xiaoyu & Liu, Benxi & Liao, Shengli & Cheng, Chuntian & Li, Gang & Liu, Lingjun, 2022. "Impacts of different wind and solar power penetrations on cascade hydroplants operation," Renewable Energy, Elsevier, vol. 182(C), pages 227-244.
    3. Grant, Elenya & Johnson, Kathryn & Damiani, Rick & Phadnis, Mandar & Pao, Lucy, 2023. "Buoyancy can ballast control for increased power generation of a floating offshore wind turbine with a light-weight semi-submersible platform," Applied Energy, Elsevier, vol. 330(PB).
    4. Davide Astolfi & Francesco Castellani & Ludovico Terzi, 2018. "Wind Turbine Power Curve Upgrades," Energies, MDPI, vol. 11(5), pages 1-17, May.
    5. Sergiienko, N.Y. & da Silva, L.S.P. & Bachynski-Polić, E.E. & Cazzolato, B.S. & Arjomandi, M. & Ding, B., 2022. "Review of scaling laws applied to floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    6. Han, Qinkai & Hao, Zhuolin & Hu, Tao & Chu, Fulei, 2018. "Non-parametric models for joint probabilistic distributions of wind speed and direction data," Renewable Energy, Elsevier, vol. 126(C), pages 1032-1042.
    7. Itiki, Rodney & Manjrekar, Madhav & Di Santo, Silvio Giuseppe & Itiki, Cinthia, 2023. "Method for spatiotemporal wind power generation profile under hurricanes: U.S.-Caribbean super grid proposition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    8. Sahin, Mustafa & Yavrucuk, Ilkay, 2022. "Adaptive envelope protection control of wind turbines under varying operational conditions," Energy, Elsevier, vol. 247(C).
    9. Dali, Ali & Abdelmalek, Samir & Bakdi, Azzeddine & Bettayeb, Maamar, 2021. "A new robust control scheme: Application for MPP tracking of a PMSG-based variable-speed wind turbine," Renewable Energy, Elsevier, vol. 172(C), pages 1021-1034.
    10. Pustina, L. & Biral, F. & Serafini, J., 2022. "A novel Economic Nonlinear Model Predictive Controller for power maximisation on wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    11. Aliyu Hassan & Yskandar Hamam & Josiah L. Munda, 2019. "Minimizing the Impact of Intermittent Wind Power on Multiperiod Power System Operation with Pumped Hydro Generation," Energies, MDPI, vol. 12(18), pages 1-22, September.

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