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A Feedback Control Loop Optimisation Methodology for Floating Offshore Wind Turbines

Author

Listed:
  • Joannes Olondriz

    (Ikerlan Technology Research Centre, Control and Monitoring Area. P∘. J. M. Arizmendiarrieta 2, 20500 Arrasate-Mondragón, Spain)

  • Josu Jugo

    (University of the Basque Country UPV/EHU, Electricity and Electronics Area. Bo. Sarriena s/n, 48940 Leioa, Spain)

  • Iker Elorza

    (Ikerlan Technology Research Centre, Control and Monitoring Area. P∘. J. M. Arizmendiarrieta 2, 20500 Arrasate-Mondragón, Spain)

  • Santiago Alonso-Quesada and Aron Pujana-Arrese

    (Ikerlan Technology Research Centre, Control and Monitoring Area. P∘. J. M. Arizmendiarrieta 2, 20500 Arrasate-Mondragón, Spain
    University of the Basque Country UPV/EHU, Electricity and Electronics Area. Bo. Sarriena s/n, 48940 Leioa, Spain)

Abstract

Wind turbines usually present several feedback control loops to improve or counteract some specific performance or behaviour of the system. It is common to find these multiple feedback control loops in Floating Offshore Wind Turbines where the system perferformance is highly influenced by the platform dynamics. This is the case of the Aerodynamic Platform Stabiliser and Wave Rejection feedback control loops which are complementaries to the conventional generator speed PI control loop when it is working in an above rated wind speed region. The multiple feedback control loops sometimes can be tedious to manually improve the initial tuning. Therefore, this article presents a novel optimisation methodology based on the Monte Carlo method to automatically improve the manually tuned multiple feedback control loops. Damage Equivalent Loads are quantified for minimising the cost function and automatically update the control parameters. The preliminary results presented here show the potential of this novel optimisation methodology to improve the mechanical fatigue loads of the desired components whereas maintaining the overall performance of the wind turbine system. This methodology provides a good balance between the computational complexity and result effectiveness. The study is carried out with the fully coupled non-linear NREL 5-MW wind turbine model mounted on the ITI Energy’s barge and the FASTv8 code.

Suggested Citation

  • Joannes Olondriz & Josu Jugo & Iker Elorza & Santiago Alonso-Quesada and Aron Pujana-Arrese, 2019. "A Feedback Control Loop Optimisation Methodology for Floating Offshore Wind Turbines," Energies, MDPI, vol. 12(18), pages 1-12, September.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:18:p:3490-:d:265866
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    References listed on IDEAS

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    1. Joannes Olondriz & Iker Elorza & Josu Jugo & Santi Alonso-Quesada & Aron Pujana-Arrese, 2018. "An Advanced Control Technique for Floating Offshore Wind Turbines Based on More Compact Barge Platforms," Energies, MDPI, vol. 11(5), pages 1-14, May.
    2. Feng Yang & Qing-wang Song & Lei Wang & Shan Zuo & Sheng-shan Li, 2014. "Wind and Wave Disturbances Compensation to Floating Offshore Wind Turbine Using Improved Individual Pitch Control Based on Fuzzy Control Strategy," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-10, March.
    3. A.H.T. Shyam Kularathna & Sayaka Suda & Ken Takagi & Shigeru Tabeta, 2019. "Evaluation of Co-Existence Options of Marine Renewable Energy Projects in Japan," Sustainability, MDPI, vol. 11(10), pages 1-26, May.
    4. Ma, Yu & Sclavounos, Paul D. & Cross-Whiter, John & Arora, Dhiraj, 2018. "Wave forecast and its application to the optimal control of offshore floating wind turbine for load mitigation," Renewable Energy, Elsevier, vol. 128(PA), pages 163-176.
    5. Bilgili, Mehmet & Yasar, Abdulkadir & Simsek, Erdogan, 2011. "Offshore wind power development in Europe and its comparison with onshore counterpart," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 905-915, February.
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    Cited by:

    1. Michela Robba & Mansueto Rossi, 2021. "Optimal Control of Hybrid Systems and Renewable Energies," Energies, MDPI, vol. 15(1), pages 1-3, December.
    2. Kwansu Kim & Hyunjong Kim & Hyungyu Kim & Jaehoon Son & Jungtae Kim & Jongpo Park, 2021. "Resonance Avoidance Control Algorithm for Semi-Submersible Floating Offshore Wind Turbine," Energies, MDPI, vol. 14(14), pages 1-17, July.

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