中国电力2025，Vol.58Issue(9)：1-9,9.DOI:10.11930/j.issn.1004-9649.202502026
基于改进分布式拥塞控制的风电场有功功率调度方法
Wind Farm Active Power Scheduling Method Based on Improved Distributed Congestion Control
摘要
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.关键词
风电场/有功功率分配/分布式一致性/拥塞控制/最优控制/快速频率调节Key words
wind farm/active power distribution/distributed consensus/congestion control/optimal control/fast frequency regulation引用本文复制引用
许晋宇,徐慧..基于改进分布式拥塞控制的风电场有功功率调度方法[J].中国电力,2025,58(9):1-9,9.基金项目
国家重点研发计划项目-政府间国际科技创新合作重点专项(基于敏捷流程管理的自适应模块化生产系统,2018YFE0117000) （基于敏捷流程管理的自适应模块化生产系统,2018YFE0117000）
湖北省工程研究中心开放课题资助(复杂零部件智能检测与识别,IDICP-KF-2024-23). 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). （复杂零部件智能检测与识别,IDICP-KF-2024-23）
