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DQ Admittance Model Extraction for IBRs via Gaussian Pulse Excitation
IEEE Transactions on Power Systems ( IF 6.5 ) Pub Date : 3-13-2023 , DOI: 10.1109/tpwrs.2023.3256119
Lingling Fan 1 , Zhixin Miao 1 , Li Bao 1 , Shahil Shah 2 , Rahul H. Ramakrishna 1
Affiliation  

While dqdq admittance models have shown to be very useful for stability analysis, extracting admittance models of inverter-based resources (IBRs) from the electromagnetic transient (EMT) simulation environment using frequency scans takes time. In this letter, a new perturbation method based on Gaussian pulses in combination with the system identification algorithms shows great promise for parametric dqdq admittance model extraction. We present the dqdq admittance model extracting method for a type-4 wind turbine. Challenges in implementing Gaussian pulse excitation are also pointed out. The extracted dqdq admittance model via the new method shows to have a high matching degree with the measurements obtained from frequency scans.

中文翻译:


通过高斯脉冲激励提取 IBR 的 DQ 导纳模型



虽然 dqdq 导纳模型已被证明对于稳定性分析非常有用,但使用频率扫描从电磁瞬态 (EMT) 仿真环境中提取基于逆变器的资源 (IBR) 的导纳模型需要时间。在这封信中,一种基于高斯脉冲的新扰动方法与系统识别算法相结合,为参数 dqdq 导纳模型提取展示了巨大的前景。我们提出了 4 型风力发电机组的 dqdq 导纳模型提取方法。还指出了实施高斯脉冲激励的挑战。通过新方法提取的dqdq导纳模型与频率扫描获得的测量结果具有较高的匹配度。
更新日期:2024-08-28
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