IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v7y2014i9p5624-5646d39685.html
   My bibliography  Save this article

A Model-Free Approach for Maximizing Power Production of Wind Farm Using Multi-Resolution Simultaneous Perturbation Stochastic Approximation

Author

Listed:
  • Mohd Ashraf Ahmad

    (Department of Systems Science, Kyoto University, Yoshida-Honmachi, Kyoto 606-8501, Japan)

  • Shun-ichi Azuma

    (Department of Systems Science, Kyoto University, Yoshida-Honmachi, Kyoto 606-8501, Japan)

  • Toshiharu Sugie

    (Department of Systems Science, Kyoto University, Yoshida-Honmachi, Kyoto 606-8501, Japan)

Abstract

This paper provides a model-free approach based on the Multi-Resolution Simultaneous Perturbation Stochastic Approximation (MR-SPSA) for maximizing power production of wind farms. The main advantage is that the method based on MR-SPSA can achieve fast controller tuning without any plant model by exploiting the information of the wind farm configuration such as turbines location and wind direction. In order to simulate the performance of the model-free scheme, a wind farm model with dynamic characterization of wake interaction between turbines is used and then the proposed method is applied to the Horns Rev wind farm. Simulation results illustrate that the method based on MR-SPSA achieves the maximum total power production with faster convergence compared with other existing model-free methods.

Suggested Citation

  • Mohd Ashraf Ahmad & Shun-ichi Azuma & Toshiharu Sugie, 2014. "A Model-Free Approach for Maximizing Power Production of Wind Farm Using Multi-Resolution Simultaneous Perturbation Stochastic Approximation," Energies, MDPI, vol. 7(9), pages 1-23, August.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:9:p:5624-5646:d:39685
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/7/9/5624/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/7/9/5624/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hansen, Anca D. & Sørensen, Poul & Iov, Florin & Blaabjerg, Frede, 2006. "Centralised power control of wind farm with doubly fed induction generators," Renewable Energy, Elsevier, vol. 31(7), pages 935-951.
    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. Park, Jinkyoo & Law, Kincho H., 2016. "A data-driven, cooperative wind farm control to maximize the total power production," Applied Energy, Elsevier, vol. 165(C), pages 151-165.
    2. Herp, Jürgen & Poulsen, Uffe V. & Greiner, Martin, 2015. "Wind farm power optimization including flow variability," Renewable Energy, Elsevier, vol. 81(C), pages 173-181.
    3. Jay P. Goit & Wim Munters & Johan Meyers, 2016. "Optimal Coordinated Control of Power Extraction in LES of a Wind Farm with Entrance Effects," Energies, MDPI, vol. 9(1), pages 1-20, January.

    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. 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. Senjyu, Tomonobu & Kaneko, Toshiaki & Uehara, Akie & Yona, Atsushi & Sekine, Hideomi & Kim, Chul-Hwan, 2009. "Output power control for large wind power penetration in small power system," Renewable Energy, Elsevier, vol. 34(11), pages 2334-2343.
    3. Fernández, R.D. & Mantz, R.J. & Battaiotto, P.E., 2007. "Impact of wind farms on a power system. An eigenvalue analysis approach," Renewable Energy, Elsevier, vol. 32(10), pages 1676-1688.
    4. Li, Pengfei & Hu, Weihao & Hu, Rui & Huang, Qi & Yao, Jun & Chen, Zhe, 2019. "Strategy for wind power plant contribution to frequency control under variable wind speed," Renewable Energy, Elsevier, vol. 130(C), pages 1226-1236.
    5. Shi, Jie & Wang, Luhao & Lee, Wei-Jen & Cheng, Xingong & Zong, Xiju, 2019. "Hybrid Energy Storage System (HESS) optimization enabling very short-term wind power generation scheduling based on output feature extraction," Applied Energy, Elsevier, vol. 256(C).
    6. Eissa (SIEEE), M.M., 2015. "Protection techniques with renewable resources and smart grids—A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1645-1667.
    7. Siniscalchi-Minna, Sara & Bianchi, Fernando D. & De-Prada-Gil, Mikel & Ocampo-Martinez, Carlos, 2019. "A wind farm control strategy for power reserve maximization," Renewable Energy, Elsevier, vol. 131(C), pages 37-44.
    8. Li, Qing'an & Wang, Ye & Kamada, Yasunari & Maeda, Takao & Xu, Jianzhong & Zhou, Shuni & Zhang, Fanghong & Cai, Chang, 2022. "Diagonal inflow effect on the wake characteristics of a horizontal axis wind turbine with Gaussian model and field measurements," Energy, Elsevier, vol. 238(PB).
    9. Fernandez, L.M. & Garcia, C.A. & Jurado, F., 2008. "Comparative study on the performance of control systems for doubly fed induction generator (DFIG) wind turbines operating with power regulation," Energy, Elsevier, vol. 33(9), pages 1438-1452.
    10. Amer Saeed, M. & Mehroz Khan, Hafiz & Ashraf, Arslan & Aftab Qureshi, Suhail, 2018. "Analyzing effectiveness of LVRT techniques for DFIG wind turbine system and implementation of hybrid combination with control schemes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2487-2501.
    11. Rodríguez-Amenedo, J.L. & Arnaltes, S. & Rodríguez, M.A., 2008. "Operation and coordinated control of fixed and variable speed wind farms," Renewable Energy, Elsevier, vol. 33(3), pages 406-414.
    12. Fernández, R.D. & Battaiotto, P.E. & Mantz, R.J., 2008. "Wind farm non-linear control for damping electromechanical oscillations of power systems," Renewable Energy, Elsevier, vol. 33(10), pages 2258-2265.
    13. Mohd Zin, Abdullah Asuhaimi B. & Pesaran H.A., Mahmoud & Khairuddin, Azhar B. & Jahanshaloo, Leila & Shariati, Omid, 2013. "An overview on doubly fed induction generators′ controls and contributions to wind based electricity generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 692-708.
    14. Jonas Kazda & Nicolaos Antonio Cutululis, 2018. "Fast Control-Oriented Dynamic Linear Model of Wind Farm Flow and Operation," Energies, MDPI, vol. 11(12), pages 1-19, November.
    15. Rui You & Braulio Barahona & Jianyun Chai & Nicolaos A. Cutululis, 2013. "A Novel Wind Turbine Concept Based on an Electromagnetic Coupler and the Study of Its Fault Ride-through Capability," Energies, MDPI, vol. 6(11), pages 1-17, November.
    16. Billy Muhando, Endusa & Senjyu, Tomonobu & Urasaki, Naomitsu & Yona, Atsushi & Kinjo, Hiroshi & Funabashi, Toshihisa, 2007. "Gain scheduling control of variable speed WTG under widely varying turbulence loading," Renewable Energy, Elsevier, vol. 32(14), pages 2407-2423.
    17. Kamel, Rashad M., 2016. "Standalone micro grid power quality improvement using inertia and power reserves of the wind generation systems," Renewable Energy, Elsevier, vol. 97(C), pages 572-584.
    18. Qi, Yongzhi & Liu, Yutian & Wu, Qiuwei, 2017. "Non-cooperative regulation coordination based on game theory for wind farm clusters during ramping events," Energy, Elsevier, vol. 132(C), pages 136-146.
    19. Kaneko, Toshiaki & Uehara, Akie & Senjyu, Tomonobu & Yona, Atsushi & Urasaki, Naomitsu, 2011. "An integrated control method for a wind farm to reduce frequency deviations in a small power system," Applied Energy, Elsevier, vol. 88(4), pages 1049-1058, April.
    20. D. Flynn & Z. Rather & A. Ardal & S. D'Arco & A.D. Hansen & N.A. Cutululis & P. Sorensen & A. Estanquiero & E. Gómez & N. Menemenlis & C. Smith & Ye Wang, 2017. "Technical impacts of high penetration levels of wind power on power system stability," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 6(2), March.

    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:7:y:2014:i:9:p:5624-5646:d:39685. 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.