IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v37y2012i1p233-240.html
   My bibliography  Save this article

Gain scheduled control based on high fidelity local wind turbine models

Author

Listed:
  • Bianchi, F.D.
  • Sánchez-Peña, R.S.
  • Guadayol, M.

Abstract

A new design methodology of gain scheduled controllers for wind turbines is presented. The proposed methodology is intended to deal with multi-variable and high order models as those produced by high fidelity aeroelastic simulators. The methodology consists in interpolating the local controller outputs and does not require a uniform state definition either of the local controllers or of the linear models. This allows the design of each controller independently, an essential point in cases of high order models. An aeroelastic model of a typical commercial wind turbine is used to illustrate the methodology.

Suggested Citation

  • Bianchi, F.D. & Sánchez-Peña, R.S. & Guadayol, M., 2012. "Gain scheduled control based on high fidelity local wind turbine models," Renewable Energy, Elsevier, vol. 37(1), pages 233-240.
    • Handle: RePEc:eee:renene:v:37:y:2012:i:1:p:233-240
    DOI: 10.1016/j.renene.2011.06.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148111003168
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2011.06.024?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ackermann, Thomas & Söder, Lennart, 2002. "An overview of wind energy-status 2002," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(1-2), pages 67-127.
    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. Sales-Setién, Ester & Peñarrocha-Alós, Ignacio, 2020. "Robust estimation and diagnosis of wind turbine pitch misalignments at a wind farm level," Renewable Energy, Elsevier, vol. 146(C), pages 1746-1765.
    2. David Rodriguez-Rosa & Ismael Payo-Gutierrez & Fernando J. Castillo-Garcia & Antonio Gonzalez-Rodriguez & Sergio Perez-Juarez, 2017. "Improving Energy Efficiency of an Autonomous Bicycle with Adaptive Controller Design," Sustainability, MDPI, vol. 9(5), pages 1-16, May.
    3. Moayed Almobaied & Hassan S. Al-Nahhal & Orlando Arrieta & Ramon Vilanova, 2023. "Design a Robust Proportional-Derivative Gain-Scheduling Control for a Magnetic Levitation System," Mathematics, MDPI, vol. 11(19), pages 1-21, September.
    4. Howlader, Abdul Motin & Izumi, Yuya & Uehara, Akie & Urasaki, Naomitsu & Senjyu, Tomonobu & Yona, Atsushi & Saber, Ahmed Yousuf, 2012. "A minimal order observer based frequency control strategy for an integrated wind-battery-diesel power system," Energy, Elsevier, vol. 46(1), pages 168-178.
    5. 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.
    6. La Cava, William & Danai, Kourosh & Spector, Lee & Fleming, Paul & Wright, Alan & Lackner, Matthew, 2016. "Automatic identification of wind turbine models using evolutionary multiobjective optimization," Renewable Energy, Elsevier, vol. 87(P2), pages 892-902.
    7. Inthamoussou, Fernando A. & De Battista, Hernán & Mantz, Ricardo J., 2016. "LPV-based active power control of wind turbines covering the complete wind speed range," Renewable Energy, Elsevier, vol. 99(C), pages 996-1007.

    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. Eskin, N. & Artar, H. & Tolun, S., 2008. "Wind energy potential of Gökçeada Island in Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(3), pages 839-851, April.
    2. Valentine, Scott Victor, 2011. "Understanding the variability of wind power costs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3632-3639.
    3. Sunak, Yasin & Madlener, Reinhard, 2012. "The Impact of Wind Farms on Property Values: A Geographically Weighted Hedonic Pricing Model," FCN Working Papers 3/2012, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Mar 2013.
    4. Skroufouta, S. & Baltas, E., 2021. "Investigation of hybrid renewable energy system (HRES) for covering energy and water needs on the Island of Karpathos in Aegean Sea," Renewable Energy, Elsevier, vol. 173(C), pages 141-150.
    5. Islam, M.R. & Saidur, R. & Rahim, N.A., 2011. "Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function," Energy, Elsevier, vol. 36(2), pages 985-992.
    6. IlkIlIç, Cumali & AydIn, Hüseyin & Behçet, Rasim, 2011. "The current status of wind energy in Turkey and in the world," Energy Policy, Elsevier, vol. 39(2), pages 961-967, February.
    7. Valentine, Scott Victor, 2010. "Canada's constitutional separation of (wind) power," Energy Policy, Elsevier, vol. 38(4), pages 1918-1930, April.
    8. Alam, Md. Mahbub & Rehman, Shafiqur & Meyer, Josua P. & Al-Hadhrami, Luai M., 2011. "Review of 600–2500kW sized wind turbines and optimization of hub height for maximum wind energy yield realization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3839-3849.
    9. Haas, Christian & Kempa, Karol & Moslener, Ulf, 2023. "Dealing with deep uncertainty in the energy transition: What we can learn from the electricity and transportation sectors," Energy Policy, Elsevier, vol. 179(C).
    10. Bueno, C. & Carta, J.A., 2006. "Wind powered pumped hydro storage systems, a means of increasing the penetration of renewable energy in the Canary Islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 312-340, August.
    11. Kaldellis, John K. & Zafirakis, D., 2011. "The wind energy (r)evolution: A short review of a long history," Renewable Energy, Elsevier, vol. 36(7), pages 1887-1901.
    12. Liu, Feng-Jiao & Chen, Pai-Hsun & Kuo, Shyi-Shiun & Su, De-Chuan & Chang, Tian-Pau & Yu, Yu-Hua & Lin, Tsung-Chi, 2011. "Wind characterization analysis incorporating genetic algorithm: A case study in Taiwan Strait," Energy, Elsevier, vol. 36(5), pages 2611-2619.
    13. Alan Turnbull & Conor McKinnon & James Carrol & Alasdair McDonald, 2022. "On the Development of Offshore Wind Turbine Technology: An Assessment of Reliability Rates and Fault Detection Methods in a Changing Market," Energies, MDPI, vol. 15(9), pages 1-20, April.
    14. Karolina Talarek & Anna Knitter-Piątkowska & Tomasz Garbowski, 2022. "Wind Parks in Poland—New Challenges and Perspectives," Energies, MDPI, vol. 15(19), pages 1-25, September.
    15. Bossoufi, Badre & Karim, Mohammed & Lagrioui, Ahmed & Taoussi, Mohammed & Derouich, Aziz, 2015. "Observer backstepping control of DFIG-Generators for wind turbines variable-speed: FPGA-based implementation," Renewable Energy, Elsevier, vol. 81(C), pages 903-917.
    16. Zhou, Wei & Yang, Hongxing & Fang, Zhaohong, 2006. "Wind power potential and characteristic analysis of the Pearl River Delta region, China," Renewable Energy, Elsevier, vol. 31(6), pages 739-753.
    17. El Alimi, Souheil & Maatallah, Taher & Dahmouni, Anouar Wajdi & Ben Nasrallah, Sassi, 2012. "Modeling and investigation of the wind resource in the gulf of Tunis, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5466-5478.
    18. Bauwens, Thomas & Devine-Wright, Patrick, 2018. "Positive energies? An empirical study of community energy participation and attitudes to renewable energy," Energy Policy, Elsevier, vol. 118(C), pages 612-625.
    19. Montes, Germán Martínez & Prados Martín, Enrique & Ordóñez García, Javier, 2007. "The current situation of wind energy in Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(3), pages 467-481, April.
    20. Li, Meishen & Li, Xianguo, 2005. "MEP-type distribution function: a better alternative to Weibull function for wind speed distributions," Renewable Energy, Elsevier, vol. 30(8), pages 1221-1240.

    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:eee:renene:v:37:y:2012:i:1:p:233-240. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.