Summary
Grid-forming control is becoming essential for IBRs and HVDC systems. Conventional performance assessments based on Thevenin equivalents are no longer sufficient, as they fail to capture key dynamics including system inertia, frequency behavior, and active–reactive power coupling. Detailed EMT network models with synchronous generators and power electronic devices are therefore recommended. However, such models increase computational burden, modelling complexity, and raise confidentiality issues. To address these challenges, dynamic network equivalent (DNE) models are required. This paper proposes two DNE methods. The first method relies on a simplistic low-order analytical model to estimate system inertia, suitable when detailed network data are unavailable. The second method is a data-driven approach based on curve fitting to derive the network inverse Jacobian Transfer Matrix at the
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Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | B4_10774_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | France |
| Study committees | |
| File size | 1 MB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
SAAD Hani - ACDC Transient; COSTAN Valentin - RTE France; MICHEL Julien - RTE-I; PIERSON David - Invenergy; NICHOLS Annalyse - Invenergy; MAJUMDER Rajat - Invenergy; VOR DEM BERGE Markus - RTE-I
Keywords
Equivalent Network Model, Jacobian Transfer Matrix, Grid Forming performance
