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Accurate and computationally tractable dynamic models of inverter-based resources (IBRs) are necessary for control design and performance evaluation of these devices in the present grid. This paper discusses the data-driven approach to obtain a nonlinear data-driven dynamic model of an IBR. Specifically, a Hammerstein–Wiener (HW) model of a three-phase inverter is obtained using the open-source dynoNet application to obtain the parameters of the model. To demonstrate the application of the model, a model reference control (MRC) strategy is proposed for the inverter to achieve the grid-forming objective of reference voltage tracking. The high fidelity simulation results from the test in MATLAB®/Simulink® environment demonstrate the good performance of the HW model and its efficacy in tracking the reference voltage through MRC strategy.

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Data-Driven Dynamic Model and Model Reference Control of Inverter-Based Resources

  • 会议论文

  • 发表日期：

    2025年

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  • Ganesh Marasini,
  • Kenneth McDonald,
  • Zhihua Qu,
  • Thomas E. McDermott

摘要

Accurate and computationally tractable dynamic models of inverter-based resources (IBRs) are necessary for control design and performance evaluation of these devices in the present grid. This paper discusses the data-driven approach to obtain a nonlinear data-driven dynamic model of an IBR. Specifically, a Hammerstein–Wiener (HW) model of a three-phase inverter is obtained using the open-source dynoNet application to obtain the parameters of the model. To demonstrate the application of the model, a model reference control (MRC) strategy is proposed for the inverter to achieve the grid-forming objective of reference voltage tracking. The high fidelity simulation results from the test in MATLAB®/Simulink® environment demonstrate the good performance of the HW model and its efficacy in tracking the reference voltage through MRC strategy.