TR2024-112

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


    •  Vanfretti, L., Laughman, C.R., "Power System Modeling for Identification and Control Applications using Modelica and OpenIPSL", Conference on Control Technology and Applications (CCTA), August 2024.
      BibTeX TR2024-112 PDF
      • @inproceedings{Vanfretti2024aug,
      • author = {{Vanfretti, Luigi and Laughman, Christopher R.}},
      • title = {Power System Modeling for Identification and Control Applications using Modelica and OpenIPSL},
      • booktitle = {Conference on Control Technology and Applications (CCTA)},
      • year = 2024,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2024-112}
      • }
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  • Research Areas:

    Control, Electric Systems, Multi-Physical Modeling

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.