Concerning the difficulty in locating the oscillating source of DFIG-integrated system with virtual inertia control, a method to track the low frequency oscillating source based on energy function is proposed in this article. First, the dynamic energy function of DFIG containing PLL and virtual inertia control modules is constructed. On this basis, considering the effects of PLL and virtual inertia, the energy spectrum of synchronous generator and analogical energy spectrum of DFIG are established, and the characteristics of energy spectrums of oscillating-source and non-oscillating-source generators in the dominant oscillation mode are revealed. And then, according to the characteristic of energy spectrum, the similarity coefficients between energy spectrums of different generators in the frequency band in the vicinity of the dominant oscillation mode are calculated. Thus by comparing the similarity coefficients, system oscillating source in the dominant oscillation mode can be located. Finally, hardware-in-the-loop tests are conducted in real time digital simulator (RTDS) based on the IEEE 10-machine 39-bus system. Simulation results verify that, in a disturbed system with multiple oscillation modes, the proposed method can eliminate the effect of nondominant oscillation mode on oscillating source locating and can realize accurate identification of oscillating-source generators even when the system is in complex operating conditions.

中文翻译：

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具有虚拟惯性控制的双馈双馈系统中低频振荡源的定位方法研究

针对具有虚拟惯性控制的DFIG集成系统的震源定位困难，提出了一种基于能量函数的低频震源跟踪方法。首先，构建了包含锁相环和虚拟惯性控制模块的DFIG的动态能量函数。在此基础上，考虑锁相环和虚拟惯性的影响，建立了同步发电机的能谱和双馈发电机的模拟能谱，并确定了主振荡模式下振荡源和非振荡源发电机的能谱特性。被揭示。然后，根据能谱的特征，计算主振荡模态附近频带内不同发电机能量谱之间的相似系数。因此，通过比较相似系数，可以定位处于主导振荡模式的系统振荡源。最后，基于IEEE 10机39总线系统的实时数字仿真器（RTDS）中进行了硬件在环测试。仿真结果表明，在具有多种振荡模式的扰动系统中，该方法可以消除非主导振荡模式对振荡源定位的影响，即使在复杂的工作条件下，也可以实现对振荡源发生器的准确识别。可以找到处于主振荡模式的系统振荡源。最后，基于IEEE 10机39总线系统的实时数字仿真器（RTDS）中进行了硬件在环测试。仿真结果表明，在具有多种振荡模式的扰动系统中，该方法可以消除非主导振荡模式对振荡源定位的影响，即使在复杂的工作条件下，也可以实现对振荡源发生器的准确识别。可以找到处于主振荡模式的系统振荡源。最后，基于IEEE 10机39总线系统的实时数字仿真器（RTDS）中进行了硬件在环测试。仿真结果表明，在具有多种振荡模式的扰动系统中，该方法可以消除非主导振荡模式对振荡源定位的影响，即使在复杂的工作条件下，也可以实现对振荡源发生器的准确识别。