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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Gramian-based tool for modeling converter-dominated power systems

Nathalia de Morais Dias Campos, Jako Kilter, Tanel Sarnet
Model Reduction and Neural Networks
article

A Gramian-based tool for modeling converter-dominated power systems

Nathalia de Morais Dias Campos, Jako Kilter, Tanel Sarnet
article en

Abstract

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.

Tallinn University of Technology (EE)
Affordable and clean energy
Openalex Percentile: Top 75%
Model Reduction and Neural Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Gramian-based tool for modeling converter-dominated power systems — Nathalia de Morais Dias Campos, Jako Kilter, et al. · (2024) | TGRS Research Map | TGRS