IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v239y2026icp26-43.html

Enhancing offshore wind farm control: A centralized approach with online optimal power dispatch

Author

Listed:
  • Díaz-Sanahuja, C.
  • Navarro-Patrón, G.
  • Peñarrocha-Alós, I.
  • Vidal-Albalate, R.

Abstract

This article presents a hierarchical control structure for offshore wind farms, aiming to enhance the overall performance, flexibility, and robustness of the system. At the lower control layer, wind turbine controllers manage the current control, while the upper layer incorporates a dispatch function within the control loop, responsible for the real-time optimal distribution of power references across the entire wind farm. This dispatch function solves an online constrained optimization problem that explicitly accounts for converter-level limitations and park-level objectives. Additionally, a centralized power controller ensures accurate tracking of these references under varying operating conditions, including disturbances, parameter deviations, or uncertainties of different nature. Beyond improving control efficiency, the proposed strategy introduces greater operational flexibility by dynamically adapting to wind energy availability and optimizing power allocation. The control framework is supported by a scalable state-space model, which facilitates deployment in different wind farm configurations and enables systematic analysis of alternative strategies. Extensive simulations validate the effectiveness of the approach, demonstrating its potential for improving wind farm response and integration into modern electricity markets. Key findings highlight the benefits of coordinated power allocation, the robustness of the control structure, and the ability of the system to maintain stable operation even under grid faults, generator disconnections, and wind variability.

Suggested Citation

  • Díaz-Sanahuja, C. & Navarro-Patrón, G. & Peñarrocha-Alós, I. & Vidal-Albalate, R., 2026. "Enhancing offshore wind farm control: A centralized approach with online optimal power dispatch," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 239(C), pages 26-43.
  • Handle: RePEc:eee:matcom:v:239:y:2026:i:c:p:26-43
    DOI: 10.1016/j.matcom.2025.05.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475425001910
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2025.05.006?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Pengda & Xiao, Jinxin & Huang, Sheng & Wu, Qiuwei & Zhang, Menglin & Wu, Xuan & Shen, Feifan & Ma, Kuichao, 2025. "An accelerated asynchronous distributed control for DFIG wind turbines and collection system loss minimization in waked wind farm," Applied Energy, Elsevier, vol. 377(PD).
    2. Jaime Martínez-Turégano & Salvador Añó-Villalba & Soledad Bernal-Perez & Ramon Blasco-Gimenez, 2019. "Aggregation of Type-4 Large Wind Farms Based on Admittance Model Order Reduction," Energies, MDPI, vol. 12(9), pages 1-21, May.
    3. 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.
    4. Amr Khaled Khamees & Almoataz Y. Abdelaziz & Makram R. Eskaros & Adel El-Shahat & Mahmoud A. Attia, 2021. "Optimal Power Flow Solution of Wind-Integrated Power System Using Novel Metaheuristic Method," Energies, MDPI, vol. 14(19), pages 1-19, September.
    5. Ebrahimi, F.M. & Khayatiyan, A. & Farjah, E., 2016. "A novel optimizing power control strategy for centralized wind farm control system," Renewable Energy, Elsevier, vol. 86(C), pages 399-408.
    6. Naval, Natalia & Yusta, Jose M., 2021. "Virtual power plant models and electricity markets - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    7. Seung-Ho Song & Gyo-Won Tae & Alexandr Lim & Ye-Chan Kim, 2023. "Reactive Power Dispatch Algorithm for a Reduction in Power Losses in Offshore Wind Farms," Energies, MDPI, vol. 16(21), pages 1-16, November.
    8. Wang, Ni & Li, Jian & Hu, Weihao & Zhang, Baohua & Huang, Qi & Chen, Zhe, 2019. "Optimal reactive power dispatch of a full-scale converter based wind farm considering loss minimization," Renewable Energy, Elsevier, vol. 139(C), pages 292-301.
    Full references (including those not matched with items on IDEAS)

    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. Dongmyoung Kim & Taesu Jeon & Insu Paek & Daeyoung Kim, 2022. "A Study on Available Power Estimation Algorithm and Its Validation," Energies, MDPI, vol. 15(7), pages 1-14, April.
    2. Li, Yuxiang & Huang, Sheng & Peng, Hanzhi & Wei, Juan & Yang, Yu & Chen, Daojun & Huang, Xiaohui, 2025. "Bi-level optimal active power dispatch in wind farms for drive train load reduction," Energy, Elsevier, vol. 339(C).
    3. Van-Hai Bui & Akhtar Hussain & Woon-Gyu Lee & Hak-Man Kim, 2019. "Hybrid Energy Management System for Operation of Wind Farm System Considering Grid-Code Constraints," Energies, MDPI, vol. 12(24), pages 1-19, December.
    4. 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.
    5. Christos N. Dimitriadis & Evangelos G. Tsimopoulos & Michael C. Georgiadis, 2021. "A Review on the Complementarity Modelling in Competitive Electricity Markets," Energies, MDPI, vol. 14(21), pages 1-27, November.
    6. Reza Nadimi & Masahito Takahashi & Koji Tokimatsu & Mika Goto, 2024. "The Reliability and Profitability of Virtual Power Plant with Short-Term Power Market Trading and Non-Spinning Reserve Diesel Generator," Energies, MDPI, vol. 17(9), pages 1-19, April.
    7. 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.
    8. 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.
    9. Sergio Cantillo-Luna & Ricardo Moreno-Chuquen & David Celeita & George J. Anders, 2024. "A Stochastic Decision-Making Tool Suite for Distributed Energy Resources Integration in Energy Markets," Energies, MDPI, vol. 17(10), pages 1-28, May.
    10. 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.
    11. Peng Sun & Jian Li & Junsheng Chen & Xiao Lei, 2016. "A Short-Term Outage Model of Wind Turbines with Doubly Fed Induction Generators Based on Supervisory Control and Data Acquisition Data," Energies, MDPI, vol. 9(11), pages 1-21, October.
    12. 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).
    13. Fatemeh Marzbani & Akmal Abdelfatah, 2024. "Economic Dispatch Optimization Strategies and Problem Formulation: A Comprehensive Review," Energies, MDPI, vol. 17(3), pages 1-31, January.
    14. Guglielmo D’Amico & Filippo Petroni & Salvatore Vergine, 2022. "Ramp Rate Limitation of Wind Power: An Overview," Energies, MDPI, vol. 15(16), pages 1-15, August.
    15. 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.
    16. Minan Tang & Wenjuan Wang & Jiandong Qiu & Detao Li & Linyuan Lei, 2022. "Active Power Cooperative Control for Wind Power Clusters with Multiple Temporal and Spatial Scales," Energies, MDPI, vol. 15(24), pages 1-21, December.
    17. Kaiss, Mateus & Wan, Yihao & Gebbran, Daniel & Vila, Clodomiro Unsihuay & Dragičević, Tomislav, 2025. "Review on Virtual Power Plants/Virtual Aggregators: Concepts, applications, prospects and operation strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 211(C).
    18. Amr Khaled Khamees & Almoataz Y. Abdelaziz & Makram R. Eskaros & Mahmoud A. Attia & Mariam A. Sameh, 2022. "Optimal Power Flow with Stochastic Renewable Energy Using Three Mixture Component Distribution Functions," Sustainability, MDPI, vol. 15(1), pages 1-21, December.
    19. Songkai Wang & Rong Jia & Xiaoyu Shi & Chang Luo & Yuan An & Qiang Huang & Pengcheng Guo & Xueyan Wang & Xuewen Lei, 2022. "Research on Capacity Allocation Optimization of Commercial Virtual Power Plant (CVPP)," Energies, MDPI, vol. 15(4), pages 1-18, February.
    20. Ioannis D. Margaris & Anca D. Hansen & Poul Sørensen & Nikolaos D. Hatziargyriou, 2010. "Illustration of Modern Wind Turbine Ancillary Services," Energies, MDPI, vol. 3(6), pages 1-13, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:matcom:v:239:y:2026:i:c:p:26-43. 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/mathematics-and-computers-in-simulation/ .

    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.