双馈风电机组模型结构讨论

PAN Xueping

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双馈风电机组模型结构讨论

更新时间：2025-08-13

- 双馈风电机组模型结构讨论
- Automation of Electric Power Systems Vol. 39, Issue 5, Pages: 7-14(2015)
- 作者机构：
  
  河海大学能源与电气学院,江苏省,南京市,210098
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015
- 稿件说明：
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PAN Xueping. [J]. Automation of electric power systems, 2015, 39(5): 7-14.
DOI：

PAN Xueping. [J]. Automation of electric power systems, 2015, 39(5): 7-14. DOI：

摘要

比较了双馈风电机组详细模型和通用模型的结构，发现通用模型中忽略了变流器、网侧控制器以及发电机的定转子动态。基于特征根技术及时域仿真分析，得出结论：通用模型中忽略变流器及网侧控制器的动态是合理的；通用模型中忽略发电机的定子及转子动态，仅对转子侧控制器的电气快动态有一定的影响。文中进一步指出

通用模型中还可忽略转子侧控制器电流控制内环的动态。文中还讨论了不同驱动系统模型下双馈风电机组动态特性的差异，以及转子侧控制器参数对双馈风电机组动态特性的影响。

Abstract

The detailed model structure and generic model structure of doubly-fed induction generator (DFIG)-based wind turbines are compared. It is found that the capacitor

grid-side converter controller

and stator and rotor dynamics of the generator are ignored in generic model. Based on the eigenvalue technology and time-domain simulation analysis

it is reasonable to neglect the dynamics of capacitor and grid-side converter controller. The analysis also shows that negligence of stator and rotor dynamics of the generator in the generic model only has impact on the fast dynamics of rotor-side controller. This paper further indicates that the generic model can also ignore the dynamics of current control inner-loop of rotor-side controller. The dynamic behaviors of different drive system models

and the impact of rotor-side controller parameters on the dynamic behavior of DFIG-based wind turbines is also studied. This work is supported by National Basic Research Program of China （973 Program）(No. 2013CB228204)

National High Technology Research and Development Program of China (863 Program) (No. 2011AA05A103) and National Natural Science Foundation of China (No. 51190102

No. 51137002

No. 51207045).This work is supported by National Basic Research Program of China （973 Program）(No. 2013CB228204)

National High Technology Research and Development Program of China (863 Program) (No. 2011AA05A103) and National Natural Science Foundation of China (No. 51190102

No. 51137002

No. 51207045).

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