Integrated Intelligent Energy ›› 2022, Vol. 44 ›› Issue (10): 25-32.doi: 10.3969/j.issn.2097-0706.2022.10.004

• Optimal Operation and Control • Previous Articles     Next Articles

Frequency distributed model predictive control strategy for the new power system considering virtual inertia of wind turbines

QU Taotao1(), QI Xiao1,*(), JIANG Wenke1(), DU Ming2(), PAN Yan3()   

  1. 1. Electricity Research Center, Jinan University, Zhuhai 519070,China
    2. National Institute of Energy Development Strategy,North China Electric Power University,Beijing 102206,China
    3. Research and Development Center, Changsha Nonferrous Metallurgy Design and Research Institute Company Limited, Changsha 410019,China
  • Received:2022-05-05 Revised:2022-07-26 Online:2022-10-25 Published:2022-12-03
  • Contact: QI Xiao E-mail:qutaotao@stu2020.jnu.edu.cn;qixiao.jnu@gmail.com;chiang@stu2021.jnu.edu.cn;zjajdming@163.com;panyan_cinf@163.com

Abstract:

Under the "dual carbon" target,large-scale wind power grid connection poses a serious threat to frequency safety of new power systems. Virtual inertia control and model predictive frequency control are the main research directions to solve the problem above. However, in the current research on model prediction frequency control,the virtual inertia control process is seldom taken into account in the prediction model, resulting in insufficient prediction accuracy and interference in frequency control. Thus,a frequency distributed model predictive control strategy considering virtual inertia control of wind turbines is proposed.Virtual inertia control is designed to give play to the frequency modulation capability of wind turbines. To deal with the variation of system equivalent inertia led by virtual inertia control, the frequency control prediction model considering virtual inertia of wind turbines is reconstructed. Finally, a frequency distributed model predictive controller is designed according to the reconstructed model, and its effectiveness is verified by the model of a four-area interconnected power system established in Matlab/Simulink.

Key words: "dual carbon" target, virtual inertia, distributed model predictive control, new power system, load frequency control, wind power

CLC Number: