Composing Small-Signal Models via the Component Connection Method with Python and Excel

The increased share of converter-based generation in power systems drives a small-signal stability concern and calls for ways to mitigate instability. The component connection method (CCM) easily composes small-signal models from subsystems in state-space, which can be used for eigenvalue-based and impedance-based stability assessment. Existing literature on CCM focuses on the stability and performance of the resulting system. This work instead focuses on and proposes an implementation of the CCM via Python and MS Excel, among other possible file formats, to help engineers compose small-signal models to abide by coming requirements for generators while supporting the open-source community with a tool that is ready to use.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/upec61344.2024.10892445
Primary Topic
Power System Optimization and Stability
Type
article
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article

Composing Small-Signal Models via the Component Connection Method with Python and Excel

Benjamin Vilmann, Oscar Saborío‐Romano, Daniel Müller
Power System Optimization and Stability
article

Composing Small-Signal Models via the Component Connection Method with Python and Excel

Benjamin Vilmann, Oscar Saborío‐Romano, Daniel Müller
article en

Abstract

The increased share of converter-based generation in power systems drives a small-signal stability concern and calls for ways to mitigate instability. The component connection method (CCM) easily composes small-signal models from subsystems in state-space, which can be used for eigenvalue-based and impedance-based stability assessment. Existing literature on CCM focuses on the stability and performance of the resulting system. This work instead focuses on and proposes an implementation of the CCM via Python and MS Excel, among other possible file formats, to help engineers compose small-signal models to abide by coming requirements for generators while supporting the open-source community with a tool that is ready to use.

Technical University of Denmark (DK)
Openalex Percentile: Top 74%
Power System Optimization and Stability
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