A Gramian-based tool for modeling converter-dominated power systems
The increasing integration of renewable energy sources and high voltage direct current (HVDC) connections has led to a proliferation of power electronic devices within the grid, thereby transforming the power system dynamics. The applicability of traditional power system modeling approaches, based on the distinction between fast and slow dynamics, became limited due to the introduction of converter dynamics. Consequently, it becomes critical to determine the minimum level of modeling details required for accurately representing these systems. The paper aims to demonstrate how a Gramian-based model reduction method can be used to develop a tool for MATLAB/Simulink that allows the visualization and identification of the model components that contribute to the system dynamics. This tool is beneficial to understand the boundaries between EMT and RMS models and how far a complex model can be simplified while retaining all the relevant dynamics.
Authors
- Nathalia de Morais Dias Campos (ORCID: https://orcid.org/0000-0002-6811-3146)
- Jako Kilter (ORCID: https://orcid.org/0000-0003-4985-857X)
- Tanel Sarnet
Institutions
- Tallinn University of Technology (EE)
Publication Details
- Published
- 2024-10-14
- DOI
- https://doi.org/10.1109/isgteurope62998.2024.10863396
- Primary Topic
- Model Reduction and Neural Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00