A Nonlinear MPC-Based Adaptive Inertia Strategy for Andronov-Hopf Oscillator Controlled Grid-forming Inverters

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For the grid-forming (GFM) inverters, the Andronov-Hopf oscillator (AHO) strategy offers superior dynamic response and stability performance. However, it fails to provide inertia response owing to lack of frequency regulating ability. To solve this issue, a nonlinear model predictive control (MPC)-based adaptive virtual inertia control scheme for the AHO inverter is proposed. Firstly, a governor is added to the AHO dynamical model to enhance the inertial supporting capability of system frequency. Secondly, the nonlinear continuous-time model of the system is given, followed by its linearization and discretization to develop the predictive model. Thirdly, by setting different cost functions and weighting factors, the proposed strategy offers different inertia response performances for system frequency and voltage according to different load switching cases. Finally, the efficiency and superiority of the proposed strategy are validated by simulation results.

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