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Control of wind turbines for fatigue loads reduction and contribution to the grid primary frequency regulation

Author

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  • Camblong, H.
  • Nourdine, S.
  • Vechiu, I.
  • Tapia, G.

Abstract

The objectives of this work have been to design and analyze a discrete Linear Quadratic Gaussian (LQG) controller which contributes to the primary frequency control of the grid and to the reduction of the drive-train fatigue loads of a Wind Turbine (WT). The WT rotational speed and electrical power are controlled using the generator torque and the pitch angle as control variables. The rotational speed and electrical power references are generated in a higher control level depending on the wind speed and a frequency droop.

Suggested Citation

  • Camblong, H. & Nourdine, S. & Vechiu, I. & Tapia, G., 2012. "Control of wind turbines for fatigue loads reduction and contribution to the grid primary frequency regulation," Energy, Elsevier, vol. 48(1), pages 284-291.
    • Handle: RePEc:eee:energy:v:48:y:2012:i:1:p:284-291
    DOI: 10.1016/j.energy.2012.05.035
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    References listed on IDEAS

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    1. Hong, Lixuan & Möller, Bernd, 2011. "Offshore wind energy potential in China: Under technical, spatial and economic constraints," Energy, Elsevier, vol. 36(7), pages 4482-4491.
    2. Möller, Bernd & Hong, Lixuan & Lonsing, Reinhard & Hvelplund, Frede, 2012. "Evaluation of offshore wind resources by scale of development," Energy, Elsevier, vol. 48(1), pages 314-322.
    3. González, L.G. & Figueres, E. & Garcerá, G. & Carranza, O., 2010. "Maximum-power-point tracking with reduced mechanical stress applied to wind-energy-conversion-systems," Applied Energy, Elsevier, vol. 87(7), pages 2304-2312, July.
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    Citations

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    Cited by:

    1. Marcelo Godoy Simões & Abdullah Bubshait, 2019. "Frequency Support of Smart Grid Using Fuzzy Logic-Based Controller for Wind Energy Systems," Energies, MDPI, vol. 12(8), pages 1-15, April.
    2. Rekik, Mouna & Abdelkafi, Achraf & Krichen, Lotfi, 2015. "A micro-grid ensuring multi-objective control strategy of a power electrical system for quality improvement," Energy, Elsevier, vol. 88(C), pages 351-363.
    3. Kusiak, Andrew & Zhang, Zijun & Verma, Anoop, 2013. "Prediction, operations, and condition monitoring in wind energy," Energy, Elsevier, vol. 60(C), pages 1-12.
    4. Wei Li & Shinai Xu & Baiyun Qian & Xiaoxia Gao & Xiaoxun Zhu & Zeqi Shi & Wei Liu & Qiaoliang Hu, 2022. "Large-Scale Wind Turbine’s Load Characteristics Excited by the Wind and Grid in Complex Terrain: A Review," Sustainability, MDPI, vol. 14(24), pages 1-29, December.
    5. Sahin, Mustafa & Yavrucuk, Ilkay, 2022. "Adaptive envelope protection control of wind turbines under varying operational conditions," Energy, Elsevier, vol. 247(C).
    6. Moradi, Hamed & Vossoughi, Gholamreza, 2015. "Robust control of the variable speed wind turbines in the presence of uncertainties: A comparison between H∞ and PID controllers," Energy, Elsevier, vol. 90(P2), pages 1508-1521.
    7. Wakui, Tetsuya & Yoshimura, Motoki & Yokoyama, Ryohei, 2017. "Multiple-feedback control of power output and platform pitching motion for a floating offshore wind turbine-generator system," Energy, Elsevier, vol. 141(C), pages 563-578.
    8. Camblong, Haritza & Vechiu, Ionel & Guillaud, Xavier & Etxeberria, Aitor & Kreckelbergh, Stéphane, 2014. "Wind turbine controller comparison on an island grid in terms of frequency control and mechanical stress," Renewable Energy, Elsevier, vol. 63(C), pages 37-45.
    9. Xingkang Jin & Wen Tan & Yarong Zou & Zijian Wang, 2022. "Active Disturbance Rejection Control for Wind Turbine Fatigue Load," Energies, MDPI, vol. 15(17), pages 1-15, August.
    10. Jeong, Min-Soo & Cha, Myung-Chan & Kim, Sang-Woo & Lee, In, 2015. "Numerical investigation of optimal yaw misalignment and collective pitch angle for load imbalance reduction of rigid and flexible HAWT blades under sheared inflow," Energy, Elsevier, vol. 84(C), pages 518-532.

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