Electric Power ›› 2025, Vol. 58 ›› Issue (9): 1-9.DOI: 10.11930/j.issn.1004-9649.202502026

• Key Technologies for Enhancing the Grid Connection Safety Capability of New Energy and New Grid-Connected Entities • Previous Articles     Next Articles

Wind Farm Active Power Scheduling Method Based on Improved Distributed Congestion Control

XU Jinyu(), XU Hui()   

  1. School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
  • Received:2025-02-13 Online:2025-09-26 Published:2025-09-28
  • Supported by:
    This work is supported by National Key R&D Program-Intergovernmental International Science and Technology Innovation Cooperation Key Project (Adaptive Modular Production System Based on Agile Process Management, No.2018YFE0117000), Hubei Engineering Research Center Open Project Funding (Intelligent Detection and Identification of Complex Parts, No.IDICP-KF-2024-23).

Abstract:

To address the problem of significant computational and communication burden, poor robustness and high fault risk when the centralized active power distribution method is applied to large-scale wind farms, a wind farm active power scheduling method based on distributed congestion control is developed. Firstly, considering the mechanical fatigue caused by pitch angle adjustments and the control mode switching due to excessively fast rotor speed reduction, a cost function quantifying the sensitivity of the wind turbine's power increment to pitch angle and rotor speed is introduced. Secondly, a congestion index is designed to optimize power distribution and tracking performance. Finally, the distributed consensus algorithm is used to simplify the calculation of wind turbine power reference, significantly reducing the computational and communication burden on the control center and endowing the proposed method with scalability. A comparative analysis with centralized control methods demonstrates the superiority of the proposed method in power tracking performance, power distribution, and robustness.

Key words: wind farm, active power distribution, distributed consensus, congestion control, optimal control, fast frequency regulation