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Research Methods for Transient Stability Analysis of Power Systems under Large Disturbances

Author

Listed:
  • Hao Wu

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Jing Li

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Haibo Yang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

Transient stability analysis is critical for maintaining the reliability and security of power systems. This paper provides a comprehensive review of research methods for transient stability analysis under large disturbances, detailing the modeling concepts and implementation approaches. The research methods for large disturbance transient stability analysis are categorized into five main types: simulation methods, direct methods, data-driven methods, analytical methods, and other methods. Within the analytical method category, several common analytical strategies are introduced, including the asymptotic expansion method, intrusive approximation method, and other analytical methods. The fundamental principles, characteristics, and recent research advancements of these methods are detailed, with particular attention to their performance in various aspects such as computational efficiency, accuracy, applicability to different system models, and stability region estimation. The advantages and disadvantages of each method are compared, offering insights to support further research into transient stability analysis for hybrid power grids under large disturbances.

Suggested Citation

  • Hao Wu & Jing Li & Haibo Yang, 2024. "Research Methods for Transient Stability Analysis of Power Systems under Large Disturbances," Energies, MDPI, vol. 17(17), pages 1-25, August.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:17:p:4330-:d:1467135
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    References listed on IDEAS

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    1. Bullich-Massagué, Eduard & Cifuentes-García, Francisco-Javier & Glenny-Crende, Ignacio & Cheah-Mañé, Marc & Aragüés-Peñalba, Mònica & Díaz-González, Francisco & Gomis-Bellmunt, Oriol, 2020. "A review of energy storage technologies for large scale photovoltaic power plants," Applied Energy, Elsevier, vol. 274(C).
    2. Petar Sarajcev & Antonijo Kunac & Goran Petrovic & Marin Despalatovic, 2022. "Artificial Intelligence Techniques for Power System Transient Stability Assessment," Energies, MDPI, vol. 15(2), pages 1-21, January.
    3. Jun Liu & Zhanhong Wei & Wanliang Fang & Chao Duan & Junxian Hou & Zutao Xiang, 2015. "Modified Quasi-Steady State Model of DC System for Transient Stability Simulation under Asymmetric Faults," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-12, October.
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