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基于两级轨迹灵敏度分析的DFIG动态全过程仿真简化建模方法
引用本文:张宇,秦文萍,曹锐,朱志龙,薛邵锴,王科. 基于两级轨迹灵敏度分析的DFIG动态全过程仿真简化建模方法[J]. 电力自动化设备, 2023, 43(4)
作者姓名:张宇  秦文萍  曹锐  朱志龙  薛邵锴  王科
作者单位:太原理工大学 电力系统运行与控制山西省重点实验室,山西 太原 030024;太原市优特奥科电子科技有限公司,山西 太原 030024
基金项目:国家自然科学基金资助项目(51777132);山西省科技重大专项(20181102028)
摘    要:双馈感应发电机(DFIG)的简化建模对系统稳定性分析至关重要,现有建模方法往往只适用于单一时间尺度下某一具体问题的分析,缺乏对动态全过程仿真建模的研究。提出一种适用于动态全过程仿真的DFIG简化建模方法。根据多时间尺度模型简化原理建立DFIG各控制的动态模型和简化模型;从控制参数入手,提出两级轨迹灵敏度分析方法,研究在动态全过程仿真中主导DFIG输出特性的关键控制;提出一种模型切换控制策略,根据两级轨迹灵敏度分析结果,通过设置阈值建立可调节的模型切换判据,在动态全过程仿真中分时调用各控制的动态模型和简化模型,在保证模型精度的同时实现模型的降阶和简化。最后,通过仿真对比验证所提建模方法的有效性。

关 键 词:双馈感应发电机;动态全过程仿真;两级轨迹灵敏度分析;模型切换;简化建模方法

Simplified modeling method of DFIG full dynamic simulation based on two-level trajectory sensitivity analysis
ZHANG Yu,QIN Wenping,CAO Rui,ZHU Zhilong,XUE Shaokai,WANG Ke. Simplified modeling method of DFIG full dynamic simulation based on two-level trajectory sensitivity analysis[J]. Electric Power Automation Equipment, 2023, 43(4)
Authors:ZHANG Yu  QIN Wenping  CAO Rui  ZHU Zhilong  XUE Shaokai  WANG Ke
Affiliation:Shanxi Key Laboratory of Power System Operation and Control, Taiyuan University of Technology, Taiyuan 030024, China;Taiyuan Youteaoke Electronic Technology Co.,Ltd.,Taiyuan 030024, China
Abstract:Simplified modeling of doubly-fed induction generator(DFIG) is essential for power system stability analysis. Existing modeling methods are often only applicable to the study of a specific problem in a single time scale, and there is a lack of research on full dynamic simulation modeling. A simplified DFIG modeling method suitable for dynamic full dynamic simulation is proposed. According to the principle of multi-time scale model simplification, the dynamic and simplified models of each control link of DFIG are established. Starting from the control parameters, a two-level trajectory sensitivity analysis method is proposed to study the key control links that dominate the DFIG output characteristics in the full dynamic simulation. A model switching control strategy is proposed. According to the results of the two-level trajectory sensitivity analysis, an adjustable model switching criterion is established by setting a threshold, and the dynamic model and simplified model of each control link are called in time-sharing in the full dynamic simulation. While ensuring the accuracy of the model, the order reduction and simplification of the model are realized. Finally, the effectiveness of the proposed modeling method is verified by the simulation comparison.
Keywords:DFIG   full dynamic simulation   two-level trajectory sensitivity analysis   model switching   simplified modeling method
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