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不平衡弱电网下构网型双馈风电机组转子侧变流器优化策略
作者:
作者单位:

1.合肥工业大学电气与自动化工程学院,安徽省合肥市 230009;2.国网安徽省电力有限公司培训中心,安徽省合肥市 230011

摘要:

双馈风电机组在不平衡电网下运行时,系统存在正、负序通路,而随着电网强度减弱,机网耦合加剧,不平衡定子电压的扰动将影响系统正常运行。为研究弱电网下双馈风电机组不平衡运行以及稳定机理,首先,构建了构网型双馈风电机组小信号状态空间模型,基于系统模型对正、负序转子电流控制进行稳定性及不平衡度分析。然后,提出基于自适应虚拟阻抗的优化控制策略,以实现弱电网下对不平衡定子电压、电流的协同补偿,通过理论分析证明了所提策略有效提高了不平衡弱电网下双馈风电机组的稳定性。最后,通过硬件在环实验平台,验证了所提优化策略的有效性。

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基金项目:

国家自然科学基金资助项目(52377177)。

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作者简介:


Optimization Strategy for Rotor-side Converter of Grid-forming DFIG-based Wind Turbines Under Unbalanced Weak Grid
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Affiliation:

Abstract:

When doubly-fed wind turbine units operate under unbalanced power grid, the system has positive and negative sequence paths. With the weakening of power grid strength, the coupling between the turbine and the grid intensifies, and disturbances in unbalanced stator voltage will affect the normal operation of the system. In order to study the unbalanced operation and stability mechanism of doubly-fed wind turbine units under weak grid, firstly, a small-signal state-space model of doubly-fed wind turbine unit is constructed, and the stability and unbalance degree of positive and negative sequence rotor current control are analyzed based on the system model. Then, the optimal control strategy based on adaptive virtual impedance is proposed to realize the cooperative compensation of the unbalanced stator voltage and current under the weak grid. The theoretical analysis proves that the proposed strategy effectively improves the stability of the doubly-fed wind turbine units under the unbalanced weak grid. Finally, through the hardware-in-the-loop experiment platform, the effectiveness of the proposed optimization strategy is verified.

Keywords:

Foundation:
This work is supported by the National Natural Science Foundation of China (No.52377177).
引用本文
[1]徐上,谢震,杨曙昕,等.不平衡弱电网下构网型双馈风电机组转子侧变流器优化策略[J/OL].电力系统自动化,http://doi. org/10.7500/AEPS20240513004.
XU Shang, XIE Zhen, YANG Shuxin, et al. Optimization Strategy for Rotor-side Converter of Grid-forming DFIG-based Wind Turbines Under Unbalanced Weak Grid[J/OL]. Automation of Electric Power Systems, http://doi. org/10.7500/AEPS20240513004.
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  • 收稿日期:2024-05-13
  • 最后修改日期:2025-03-05
  • 录用日期:2024-09-27
  • 在线发布日期: 2025-03-13
  • 出版日期: