Transient Stability Study of Grid-Forming Energy Storage Converters Based on Mixed Potential Function

Le résumé fourni par la source

In the study of grid-forming energy storage converters, simplified modeling of high-order nonlinear systems is critical for large-signal stability (LSS) analysis. However, existing approaches predominantly rely on single mathematical frameworks, which struggle to simultaneously capture multi-timescale coupling characteristics and accurately represent nonlinear dynamics. It often leads to prediction inaccuracies under extreme operating conditions. This paper innovatively integrates physics-dominated differential-algebraic equations with data-compensated function approximation to construct a hybrid potential dynamic model. By introducing a mixed potential function, the proposed model achieves higher fidelity in characterizing the dynamic behavior of energy storage converters in power grids, thereby enhancing the accuracy and stability of transient process modeling. The paper elaborates on the model formulation and validates its effectiveness through detailed simulation experiments. Results demonstrate that the mixed potential function-based model exhibits significant advantages in predicting transient stability margins, offering novel theoretical support for future grid stability enhancement.

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