Power System Modeling for Identification and Control Applications using Modelica and OpenIPSL

The open-access Modelica language offers unique modeling features that enable power system modeling for identification and control applications. In this paper, we illustrate how the language can be used for these purposes leveraging the Modelica-based OpenIPSL library. With the goal of expanding the application of the language in system identification and control applications, the paper provides open-source models of different networks that can be re-utilized by the control community. Although the models in this paper target specific power system dynamic phenomena, that is, local low-frequency oscillation monitoring and control, they can easily be extended to address other power system dynamic issues.

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Publication Details

Published
2024-08-21
DOI
https://doi.org/10.1109/ccta60707.2024.10666594
Citations
1
Primary Topic
Real-time simulation and control systems
Type
article
Field-Weighted Citation Impact
0.33
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article

Power System Modeling for Identification and Control Applications using Modelica and OpenIPSL

Luigi Vanfretti, Christopher R. Laughman
1 citations
Real-time simulation and control systems
0.33
article

Power System Modeling for Identification and Control Applications using Modelica and OpenIPSL

Luigi Vanfretti, Christopher R. Laughman
article en
1 citations

Abstract

The open-access Modelica language offers unique modeling features that enable power system modeling for identification and control applications. In this paper, we illustrate how the language can be used for these purposes leveraging the Modelica-based OpenIPSL library. With the goal of expanding the application of the language in system identification and control applications, the paper provides open-source models of different networks that can be re-utilized by the control community. Although the models in this paper target specific power system dynamic phenomena, that is, local low-frequency oscillation monitoring and control, they can easily be extended to address other power system dynamic issues.

Rensselaer Polytechnic Institute (US), Mitsubishi Electric (United States) (US)
Openalex Percentile: Top 42%
Real-time simulation and control systems
0.33
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