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  5. Large-Signal Modeling of Virtual Admittance-Based Grid-Forming Inverter

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Article
en
2025

Large-Signal Modeling of Virtual Admittance-Based Grid-Forming Inverter

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0 Files

en
2025
DOI: 10.1109/ecce-europe62795.2025.11238623

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Paul M Ridker
Paul M Ridker

Harvard University

Verified
Liang Huang
Frede Blaabjerg
Sanjay K. Chaudhary
+3 more

Abstract

As wind power capacities increase, the decreasing inertia of modern power systems challenges its frequency stability. Unlike traditional grid-following inverters, grid-forming (GFM) inverters can create and stabilize a grid independent of the utility. Hence, GFM inverters are seen as a potential solution, but their transient stability is a growing concern. While large-signal models are effective tools for analyzing transient stability, most existing research focuses on typical GFM control schemes without using virtual impedance. To address such a research gap, this paper proposes several simplified large-signal models for GFM inverters with virtual admittance, showing that the second-order model closely matches the accuracy of the full-order EMT model. So, the second-order large-signal model is a competing candidate for transient stability analysis due to its simplicity and accuracy. Finally, the correctness of the proposed models has been verified by time-domain simulations.

How to cite this publication

Liang Huang, Frede Blaabjerg, Sanjay K. Chaudhary, Boyuan Cui, Guoqing Gao, Dao Zhou (2025). Large-Signal Modeling of Virtual Admittance-Based Grid-Forming Inverter. , DOI: https://doi.org/10.1109/ecce-europe62795.2025.11238623.

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Publication Details

Type

Article

Year

2025

Authors

6

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1109/ecce-europe62795.2025.11238623

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