The black-box impedance model of voltage source inverters (VSIs) can be measured at their terminals without access to internal control details, which greatly facilitate the analysis of inverter-grid interactions. However, the impedance model of VSI is dependent on its operating point and can have different profiles when the operating point is changed. This letter proposes a method for identifying the impedance model of VSI under a wide range of operating points. The approach is based on the artificial neural network (ANN), where a general framework for applying the ANN to identify the VSI impedance is established. The effectiveness of the ANN-based method is validated with the analytical impedance models.

中文翻译：

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基于人工神经网络的多操作点阻抗模型识别

电压源逆变器 (VSI) 的黑盒阻抗模型可以在其终端进行测量，而无需访问内部控制细节，这极大地促进了逆变器与电网相互作用的分析。然而，VSI 的阻抗模型取决于其工作点，并且当工作点改变时可以有不同的曲线。这封信提出了一种在大范围工作点下识别VSI阻抗模型的方法。该方法基于人工神经网络 (ANN)，其中建立了应用 ANN 来识别 VSI 阻抗的通用框架。使用分析阻抗模型验证了基于 ANN 的方法的有效性。