IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v132y2017icp136-146.html
   My bibliography  Save this article

Non-cooperative regulation coordination based on game theory for wind farm clusters during ramping events

Author

Listed:
  • Qi, Yongzhi
  • Liu, Yutian
  • Wu, Qiuwei

Abstract

With increasing penetration of wind power in power systems, it is important to track scheduled wind power output as much as possible during ramping events to ensure security of the system. In this paper, a non-cooperative coordination strategy based on the game theory is proposed for the regulation of wind farm clusters (WFCs) in order to track scheduled wind power of the WFC during ramping events. In the proposed strategy, a non-cooperative game is formulated and wind farms compete to provide regulation to the WFC during ramping events. A regulation revenue function is proposed to evaluate the competition process of wind farms to provide regulation to the WFC which includes revenue of effective regulation (ER), power support regulation and punishment regulation. The multi-time-interval Nash equilibrium condition is derived for the regulation competition process of wind farms. By setting parameters of the regulation revenue function according to the derived Nash equilibrium condition, the ER strategy is the Nash equilibrium of the regulation competition. Case studies were conducted with the power output data of wind farms from State Grid Jibei Electric Power Company Limited of China to demonstrate the efficacy of the proposed coordination strategy during ramping events.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:132:y:2017:i:c:p:136-146
    DOI: 10.1016/j.energy.2017.05.060
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217308162
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.05.060?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. 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. Pfeifer, Antun & Feijoo, Felipe & Duić, Neven, 2023. "Fast energy transition as a best strategy for all? The nash equilibrium of long-term energy planning strategies in coupled power markets," Energy, Elsevier, vol. 284(C).
    2. Hu, Maomao & Xiao, Fu & Wang, Shengwei, 2021. "Neighborhood-level coordination and negotiation techniques for managing demand-side flexibility in residential microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    3. Kavita Jain & Muhammed Basheer Jasser & Muzaffar Hamzah & Akash Saxena & Ali Wagdy Mohamed, 2022. "Harris Hawk Optimization-Based Deep Neural Networks Architecture for Optimal Bidding in the Electricity Market," Mathematics, MDPI, vol. 10(12), pages 1-19, June.
    4. Budi, Rizki Firmansyah Setya & Sarjiya, & Hadi, Sasongko Pramono, 2021. "Multi-level game theory model for partially deregulated generation expansion planning," Energy, Elsevier, vol. 237(C).
    5. Ostadi, Bakhtiar & Motamedi Sedeh, Omid & Husseinzadeh Kashan, Ali, 2020. "Risk-based optimal bidding patterns in the deregulated power market using extended Markowitz model," Energy, Elsevier, vol. 191(C).

    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. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    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:eee:energy:v:132:y:2017:i:c:p:136-146. 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/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.