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计及风电机组传动链载荷的模型预测控制调频策略

徐大成 尹纯亚 周嘉阳 李凤婷 刘江山

电气传动2025,Vol.55Issue(9):4-13,10.
电气传动2025,Vol.55Issue(9):4-13,10.DOI:10.19457/j.1001-2095.dqcd26216

计及风电机组传动链载荷的模型预测控制调频策略

Wind Turbine Generator Transmission Chain Load-considering Model Predictive Control Frequency Regulation Strategy

徐大成 1尹纯亚 1周嘉阳 2李凤婷 1刘江山1

作者信息

  • 1. 新疆大学电气工程学院,新疆 乌鲁木齐 830017
  • 2. 国网江西省电力有限公司吉安供电分公司,江西 吉安 343400
  • 折叠

摘要

Abstract

To mitigate the fatigue load generated by wind turbine participation in primary frequency regulation,a primary frequency regulation strategy considering the fatigue load of wind turbine was proposed based on the mechanical dynamic response characteristics and control device operation characteristics of wind turbine under different wind speeds.Firstly,based on the dynamic response characteristics and primary frequency regulation control device operation characteristics of grid-connected wind turbine,the fatigue load model of wind turbine was derived.Secondly,by constructing the state space model of wind turbine,the primary frequency regulation and fatigue load of wind turbine were transformed into a multi-constraint multi-objective optimization mathematical model.Based on the model predictive control(MPC),the dynamic frequency deviation was reduced while the fatigue load of wind turbine was lowered.Finally,based on the Matlab/Simulink platform,the frequency regulation capability and fatigue load of wind turbine under different control strategies were compared through time-domain simulation and analysis.The results show that the proposed control strategy is more effective than the existing control strategy in improving the frequency response capability of wind turbine and reducing the fatigue load of wind turbine,thereby extending the service life of wind turbine.

关键词

疲劳载荷/模型预测控制/一次调频/双馈风电机组

Key words

fatigue load/model predictive control(MPC)/primary frequency regulation/doubly-fed induction generator(DFIG)

分类

信息技术与安全科学

引用本文复制引用

徐大成,尹纯亚,周嘉阳,李凤婷,刘江山..计及风电机组传动链载荷的模型预测控制调频策略[J].电气传动,2025,55(9):4-13,10.

基金项目

国家自然科学基金(5236070148) (5236070148)

新疆维吾尔自治区自然科学基金(2022D01C363) (2022D01C363)

电气传动

1001-2095

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