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Fast Power System Transient Stability Simulation

Author

Listed:
  • Teshome Lindi Kumissa

    (Institute of Technology, School of Electrical and Computer Engineering (SECE), Hawassa University, Hawassa, Ethiopia)

  • Fekadu Shewarega

    (Institutes of Electrical Power Systems, University of Duisburg-Essen, 47057 Duisburg, Germany)

Abstract

Power system transient stability simulation is of critical importance for utilities to assess dynamic security. Most of the commercially available tools use the traditional numerical integration method to simulate power system transient stability, which is computationally intensive and has low simulation speed. This makes it difficult to identify any insecure contingency before it happens. It is already proven that power system transient stability simulation achieved using the differential transformation method (DTM) requires less computational effort and has improved simulation speed, but it still requires further improvement regarding its accuracy and performance efficiency. This paper introduces a novel power system transient stability simulation method based on the adaptive step-size differential transformation method. Using the proposed method, the step size is varied based on the estimated local solution error at each time step. The accuracy and speed of the proposed simulation approach are investigated in comparison with the classical differential transformation method and the traditional numerical integration method using the IEEE 9 bus and 39 bus test systems. The simulation results reveal that the proposed method increases the simulation speed by 20–44.57% and 83–92% when compared with the classical DTM and traditional numerical-integration-based simulation methods, respectively. It is also proved that compared with the DTM-based simulation, the proposed method provides 45.27% to 58.85% and more than 90% accurate simulation results for IEEE 9 and IEEE 39 test systems, respectively. Therefore the proposed power system transient stability simulation method is faster and relatively more accurate and can be applied for online transient stability monitoring of power system networks.

Suggested Citation

  • Teshome Lindi Kumissa & Fekadu Shewarega, 2023. "Fast Power System Transient Stability Simulation," Energies, MDPI, vol. 16(20), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:20:p:7157-:d:1263234
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    References listed on IDEAS

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    1. Petar Sarajcev & Antonijo Kunac & Goran Petrovic & Marin Despalatovic, 2021. "Power System Transient Stability Assessment Using Stacked Autoencoder and Voting Ensemble," Energies, MDPI, vol. 14(11), pages 1-26, May.
    2. Soobae Kim & Thomas J. Overbye, 2015. "Optimal Subinterval Selection Approach for Power System Transient Stability Simulation," Energies, MDPI, vol. 8(10), pages 1-12, October.
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