A model predictive approach for enhancing transient stability of grid-forming converters
Author(s)
Arjomandi Nezhad, Ali
Guo, Yifei
Pal, Bikash
Varagnolo, Damiano
Type
Journal Article
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.
Date Issued
2024-09-01
Date Acceptance
2024-02-18
Citation
IEEE Transactions on Power Systems, 2024, 39 (5), pp.6675-6688
ISSN
0885-8950
Publisher
Institute of Electrical and Electronics Engineers
Start Page
6675
End Page
6688
Journal / Book Title
IEEE Transactions on Power Systems
Volume
39
Issue
5
Copyright Statement
© 2024 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
License URL
Publication Status
Published
Date Publish Online
2024-02-22