IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i18p3490-d265866.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/18/3490/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/18/3490/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wakui, Tetsuya & Nagamura, Atsushi & Yokoyama, Ryohei, 2021. "Stabilization of power output and platform motion of a floating offshore wind turbine-generator system using model predictive control based on previewed disturbances," Renewable Energy, Elsevier, vol. 173(C), pages 105-127.
    2. Amirinia, Gholamreza & Mafi, Somayeh & Mazaheri, Said, 2017. "Offshore wind resource assessment of Persian Gulf using uncertainty analysis and GIS," Renewable Energy, Elsevier, vol. 113(C), pages 915-929.
    3. Sun, Xiaojing & Huang, Diangui & Wu, Guoqing, 2012. "The current state of offshore wind energy technology development," Energy, Elsevier, vol. 41(1), pages 298-312.
    4. Truong, Hoai Vu Anh & Dang, Tri Dung & Vo, Cong Phat & Ahn, Kyoung Kwan, 2022. "Active control strategies for system enhancement and load mitigation of floating offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    5. Bonou, Alexandra & Laurent, Alexis & Olsen, Stig I., 2016. "Life cycle assessment of onshore and offshore wind energy-from theory to application," Applied Energy, Elsevier, vol. 180(C), pages 327-337.
    6. Pasquale Contestabile & Enrico Di Lauro & Paolo Galli & Cesare Corselli & Diego Vicinanza, 2017. "Offshore Wind and Wave Energy Assessment around Malè and Magoodhoo Island (Maldives)," Sustainability, MDPI, vol. 9(4), pages 1-24, April.
    7. Kamila Pronińska & Krzysztof Księżopolski, 2021. "Baltic Offshore Wind Energy Development—Poland’s Public Policy Tools Analysis and the Geostrategic Implications," Energies, MDPI, vol. 14(16), pages 1-17, August.
    8. Christoffer Hallgren & Johan Arnqvist & Stefan Ivanell & Heiner Körnich & Ville Vakkari & Erik Sahlée, 2020. "Looking for an Offshore Low-Level Jet Champion among Recent Reanalyses: A Tight Race over the Baltic Sea," Energies, MDPI, vol. 13(14), pages 1-26, July.
    9. Gallagher, Sarah & Tiron, Roxana & Whelan, Eoin & Gleeson, Emily & Dias, Frédéric & McGrath, Ray, 2016. "The nearshore wind and wave energy potential of Ireland: A high resolution assessment of availability and accessibility," Renewable Energy, Elsevier, vol. 88(C), pages 494-516.
    10. Ling, Yu & Cai, Xu, 2012. "Exploitation and utilization of the wind power and its perspective in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2111-2117.
    11. Shu, Z.R. & Li, Q.S. & Chan, P.W., 2015. "Investigation of offshore wind energy potential in Hong Kong based on Weibull distribution function," Applied Energy, Elsevier, vol. 156(C), pages 362-373.
    12. Kern, Florian & Smith, Adrian & Shaw, Chris & Raven, Rob & Verhees, Bram, 2014. "From laggard to leader: Explaining offshore wind developments in the UK," Energy Policy, Elsevier, vol. 69(C), pages 635-646.
    13. Ewa Chomać-Pierzecka & Anna Sobczak & Dariusz Soboń, 2022. "Wind Energy Market in Poland in the Background of the Baltic Sea Bordering Countries in the Era of the COVID-19 Pandemic," Energies, MDPI, vol. 15(7), pages 1-21, March.
    14. Bilgili, Mehmet & Ozbek, Arif & Sahin, Besir & Kahraman, Ali, 2015. "An overview of renewable electric power capacity and progress in new technologies in the world," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 323-334.
    15. Daniel Clemente & Felipe Teixeira-Duarte & Paulo Rosa-Santos & Francisco Taveira-Pinto, 2023. "Advancements on Optimization Algorithms Applied to Wave Energy Assessment: An Overview on Wave Climate and Energy Resource," Energies, MDPI, vol. 16(12), pages 1-28, June.
    16. Feng, Qiang & Zhao, Xiujie & Fan, Dongming & Cai, Baoping & Liu, Yiqi & Ren, Yi, 2019. "Resilience design method based on meta-structure: A case study of offshore wind farm," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 232-244.
    17. Liang, Yi & Niu, Dongxiao & Hong, Wei-Chiang, 2019. "Short term load forecasting based on feature extraction and improved general regression neural network model," Energy, Elsevier, vol. 166(C), pages 653-663.
    18. Piirainen, Kalle A. & Tanner, Anne Nygaard & Alkærsig, Lars, 2017. "Regional foresight and dynamics of smart specialization: A typology of regional diversification patterns," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 289-300.
    19. Li, Jiale & Yu, Xiong (Bill), 2018. "Onshore and offshore wind energy potential assessment near Lake Erie shoreline: A spatial and temporal analysis," Energy, Elsevier, vol. 147(C), pages 1092-1107.
    20. Lins, Davi Ribeiro & Guedes, Kevin Santos & Pitombeira-Neto, Anselmo Ramalho & Rocha, Paulo Alexandre Costa & de Andrade, Carla Freitas, 2023. "Comparison of the performance of different wind speed distribution models applied to onshore and offshore wind speed data in the Northeast Brazil," Energy, Elsevier, vol. 278(PA).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:18:p:3490-:d:265866. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.