| 引用本文: | 潘学萍,殷紫吟,鞠平,吴峰,金宇清,马倩.基于短路电流辨识双馈感应发电机的模型参数[J].电力自动化设备,2017,37(11): |
| PAN Xueping,YIN Ziyin,JU Ping,WU Feng,JIN Yuqing,MA Qian.Model parameter identification of DFIG based on short circuit current[J].Electric Power Automation Equipment,2017,37(11): |
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| 摘要: |
| 研究含大规模风电的电力系统的动态行为，需要准确的风电机组模型参数。发电机是风电机组的核心部件，对其准确建模至关重要。提出了基于风电机组的短路电流辨识双馈感应发电机(DFIG)模型参数的方法。分析了DFIG风电机组在端口发生三相短路情况下的电磁暂态特性，给出了短路电流的解析表达式。以含DFIG风电机组的单机无穷大系统为例仿真获得短路电流，基于轨迹灵敏度方法分析了DFIG各参数的可辨识性及辨识难易度，并基于短路电流的解析表达式进行参数辨识，根据参数辨识结果进行了误差分析。 |
| 关键词: 双馈感应发电机 短路电流 参数辨识 轨迹灵敏度 误差分析 |
| DOI：10.16081/j.issn.1006-6047.2017.11.005 |
| 分类号:TM315 |
| 基金项目:国家自然科学基金重大项目(51190102) |
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| Model parameter identification of DFIG based on short circuit current |
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PAN Xueping1, YIN Ziyin1, JU Ping1, WU Feng1, JIN Yuqing1, MA Qian2
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1.College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;2.State Grid Jiangsu Electric Power Company, Nanjing 210024, China
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| Abstract: |
| Accurate model parameters of wind turbine generators are needed to study the dynamic characteristics of power systems with large-scale wind power. Generator is the main component of wind turbine generator, whose accurate modeling is very important. An identification method of model parameters of DFIG(Doubly-Fed Induction Generator) based on short circuit current of wind turbine generator is proposed. The electromagnetic transient characteristics are analyzed when three-phase short circuit fault occurs at the terminal of DFIG-based wind turbine generator, and the analytical expression of the short circuit current is given. The short circuit current is simulated based on a single-machine infinite bus system with a DFIG wind turbine, the identifiability and identification difficulties of DFIG’s parameters are analyzed based on trajectory sensitivity method, the parameters are identified based on the analytical expression of the short circuit current, and the error analysis is carried out according to the identification results. |
| Key words: DFIG short circuit currents parameter identification trajectory sensitivity error analysis |
