基于通用部件响应的DFIGs低频阻尼效应

Li Li, Zongxiang Lu, Ying Qiao, Ruijie Chen
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引用次数: 0

摘要

对于DFIGs是否会导致电力系统的低频振荡存在争议。传统的分析工具如模态分析或MIMO方法很难解释这个有争议的问题,因为它们的数值结果不能提供关于DFIGs与电力系统之间耦合的基本物理意义。基于模块化传递函数建模的思想,本文提出了一种称为“通用分量响应原理(RGC)”的一般理论,以便以直观的频域形式完整解释DFIGs(以及其他类似的变换器接口发生器)引起的潜在阻尼效应。采用复转矩系数法,基于rgc的原理只依赖于DFIG的数学模型和参数,与相邻的电力系统无关。基于DFIG的RGC计算分析表明,即使DFIG本身内部动力学阻尼较差,在正常最大功率跟踪模式下,DFIG也不会主动“参与”机电振荡。事实上,只有当附加的有功控制如下垂控制被激活时,DFIG才会产生有效阻尼。此外,所提出的基本原理清楚地显示了DFIGs引入负阻尼效应的可能性。当对一个初级电力系统进行研究时,基于rgc的原理可以很好地预测模态分析和时域仿真的观察结果和结论。
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DFIGs’ Low-frequency Damping Effects Based on Responses of Generic Component
There exist arguments that whether the DFIGs contribute to low-frequency-oscillation of power systems. The controversial issue is hard to explain by traditional analytical tools like the modal analysis or MIMO methods, since their numerical results cannot provide fundamental physical significances about the coupling between DFIGs and the power system. Based on the idea of modular transfer-function modelling, the paper proposes a general theory named as rationales of "responses of generic component (RGC)", in order to have a complete explanation of potential damping effects induced by DFIGs (and other similar converter-interfaced generators) in intuitive frequency-domain forms. By using the complex torque coefficient method, the RGC-based rationales only rely on mathematical models and parameters of the DFIG, and thus are independent from the adjacent power systems. Analysis based on calculation of the DFIG’s RGC proves that, even if internal dynamics of the DFIG itself are poorly damped, DFIGs do not actively "participate" in electromechanical oscillations when in the normal maximum-power-tracking mode. In fact, only when additional active-power control like droop control is activated would the DFIG induce effective damping. Also, the proposed rationales clearly show the possibility of negative damping effects introduced by DFIGs. When a rudimentary power system is studied, observations and conclusions of both modal analysis and time-domain simulation could be well predicted by the RGC-based rationales.
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