Visualisation and Analysis of Super-Synchronous Interactions of Grid Assets using Wavelet Transform

This contribution proposes an approach for the visualisation and analysis of interactions of grid assets in both the time and frequency domains simultaneously, using the Wavelet transform. The Wavelet transform enables a detailed analysis of any signal in the time domain, providing insights into the occurrence and evolution of individual frequency components over time. Hence, this approach bridges the gap between classical small-signal stability analysis in the frequency domain, with its drawbacks due to linearisation, and Electromagnetic Transient (EMT) simulation and analysis, which lacks detailed information about the participating frequency components. The method is demonstrated on simulation results of a high-voltage direct-current converter and its response to a three-phase fault. Here, the analysis reveals an additional frequency component at 250 Hz. In particular, consideration of the derived time and frequency dependent converter impedance supports a more detailed analysis of this frequency component and its behaviour over time.

Authors

Institutions

Publication Details

Published
2025-06-29
DOI
https://doi.org/10.1109/powertech59965.2025.11180326
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Visualisation and Analysis of Super-Synchronous Interactions of Grid Assets using Wavelet Transform

Marco Lindner, Thomas Leibfried, Alexander Bisseling, Maurizio Zajadatz et al.
Distributed and Parallel Computing Systems
article

Visualisation and Analysis of Super-Synchronous Interactions of Grid Assets using Wavelet Transform

Marco Lindner, Thomas Leibfried, Alexander Bisseling, Maurizio Zajadatz, Michael Suriyah, Niklas Phil Oldehinkel
article en

Abstract

This contribution proposes an approach for the visualisation and analysis of interactions of grid assets in both the time and frequency domains simultaneously, using the Wavelet transform. The Wavelet transform enables a detailed analysis of any signal in the time domain, providing insights into the occurrence and evolution of individual frequency components over time. Hence, this approach bridges the gap between classical small-signal stability analysis in the frequency domain, with its drawbacks due to linearisation, and Electromagnetic Transient (EMT) simulation and analysis, which lacks detailed information about the participating frequency components. The method is demonstrated on simulation results of a high-voltage direct-current converter and its response to a three-phase fault. Here, the analysis reveals an additional frequency component at 250 Hz. In particular, consideration of the derived time and frequency dependent converter impedance supports a more detailed analysis of this frequency component and its behaviour over time.

Karlsruhe Institute of Technology (DE)
Openalex Percentile: Top 67%
Distributed and Parallel Computing Systems
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.

Visualisation and Analysis of Super-Synchronous Interactions of Grid Assets using Wavelet Transform — Marco Lindner, Thomas Leibfried, et al. · (2025) | TGRS Research Map | TGRS