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A Model Predictive Approach for Enhancing Transient Stability of Grid-Forming Converters

2024/02/22 by Ali Arjomandi-Nezhad, Ali Arjomandi‐Nezhad, Yifei Guo +2 · 1 citation
Engineering · #Frequency Control in Power Systems #HVDC Systems and Fault Protection #Microgrid Control and Optimization

paper · pdf · doi:10.1109/tpwrs.2024.3368626

openalex publication_date 2024/02/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/25

Abstract

A model predictive control (MPC) method for enhancing post-fault transient stability of a grid-forming (GFM) inverter-based resources (IBRs) is developed in this paper. This proposed controller is activated as soon as the converter enters into the post-fault current-saturation mode. It aims at mitigating the instability arising from insufficient deceleration due to current saturation and thus improving the transient stability of a GFM-IBR. The MPC approach optimises the post-fault trajectory of GFM IBRs by introducing appropriate corrective phase angle jumps and active power references where the post-fault dynamics of GFM IBRs are addressed. These two signals provide controllability over GFM IBR's post-fault trajectory. This paper addresses the mitigation of oscillations between current-saturation mode and normal mode by forced saturation if conditions for remaining in the normal mode do not hold. The performance of the proposal is tested via dynamic simulations under various grid conditions and compared with other existing strategies. The results demonstrate significant improvement in transient stability.

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