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基于非线性预测理论的双馈风电机组短期频率支撑方法

聂永辉 刘家僮 杜正春 高磊 赵品谋 吴永庆

中国电机工程学报2025,Vol.45Issue(10):3848-3857,中插13,11.
中国电机工程学报2025,Vol.45Issue(10):3848-3857,中插13,11.DOI:10.13334/j.0258-8013.pcsee.232490

基于非线性预测理论的双馈风电机组短期频率支撑方法

Short-term Frequency Support Scheme of Doubly-fed Wind Turbine Based on Nonlinear Prediction Theory

聂永辉 1刘家僮 1杜正春 2高磊 3赵品谋 4吴永庆1

作者信息

  • 1. 东北电力大学电气工程学院,吉林省 吉林市 132012
  • 2. 西安交通大学电气工程学院,陕西省西安市 710049
  • 3. 中国电力科学研究院有限公司,北京市海淀区 100192
  • 4. 国网天津市电力公司东丽供电分公司,天津市 东丽区 300300
  • 折叠

摘要

Abstract

The large-scale integration of wind power leads to a serious reduction of system inertia,which deteriorates the frequency stability of the system.For the above problems,a short-term frequency support scheme for doubly-fed wind turbines participating in grid frequency regulation is proposed based on nonlinear prediction theory and extended state observer(ESO)theory.First,the target state equation related to system frequency deviation and wind turbine speed is established,and the corresponding prediction order of different control objectives is calculated.Then,according to the nonlinear prediction theory,the prediction matrix is calculated to predict the state tracking error at the future time,and the nonlinear control law is obtained.Finally,the ESO is introduced to observe the complex Lie derivative operation in the nonlinear control law,which reduces the computational burden required for the control law.The wind power system is built by MATLAB/SIMULINK for simulation verification.The results show that the proposed nonlinear scheme can effectively improve the frequency response of the power grid,and realize the self-recovery of the wind turbine speed without designing the speed recovery link separately.

关键词

风电辅助调频/转子动能控制/目标状态方程/非线性预测控制/扩张状态观测理论

Key words

wind power auxiliary frequency regulation/rotor kinetic energy control/target state equation/nonlinear predictive control/extended state observation theory

分类

信息技术与安全科学

引用本文复制引用

聂永辉,刘家僮,杜正春,高磊,赵品谋,吴永庆..基于非线性预测理论的双馈风电机组短期频率支撑方法[J].中国电机工程学报,2025,45(10):3848-3857,中插13,11.

基金项目

国家自然科学基金项目(61973072) (61973072)

吉林省自然科学基金项目(20230101216JC).Project Support by National Natural Science Foundation of China(61973072) (20230101216JC)

Natural Science Foundation of Jilin Province(20230101216JC). (20230101216JC)

中国电机工程学报

OA北大核心

0258-8013

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