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Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics

Author

Listed:
  • Tommaso Bradde

    (Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy)

  • Samuel Chevalier

    (Department of Electrical Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark)

  • Marco De Stefano

    (Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy)

  • Stefano Grivet-Talocia

    (Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy)

  • Luca Daniel

    (Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02142, USA)

Abstract

This paper develops a predictive modeling algorithm, denoted as Real-Time Vector Fitting (RTVF), which is capable of approximating the real-time linearized dynamics of multi-input multi-output (MIMO) dynamical systems via rational transfer function matrices. Based on a generalization of the well-known Time-Domain Vector Fitting (TDVF) algorithm, RTVF is suitable for online modeling of dynamical systems which experience both initial-state decay contributions in the measured output signals and concurrently active input signals. These adaptations were specifically contrived to meet the needs currently present in the electrical power systems community, where real-time modeling of low frequency power system dynamics is becoming an increasingly coveted tool by power system operators. After introducing and validating the RTVF scheme on synthetic test cases, this paper presents a series of numerical tests on high-order closed-loop generator systems in the IEEE 39-bus test system.

Suggested Citation

  • Tommaso Bradde & Samuel Chevalier & Marco De Stefano & Stefano Grivet-Talocia & Luca Daniel, 2021. "Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics," Energies, MDPI, vol. 14(9), pages 1-21, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2471-:d:543635
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    Cited by:

    1. Igor Simone Stievano & Riccardo Trinchero, 2023. "Advanced Techniques for the Modeling and Simulation of Energy Networks," Energies, MDPI, vol. 16(5), pages 1-3, February.

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