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Load Frequency Control of Power Systems Using GPI Observer-Based Controller

Author

Listed:
  • Mehrdad Dorostian

    (Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA)

  • Bahram Shafai

    (Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA)

Abstract

This paper considers the problem of the load frequency control of power systems when system states are not directly available for implementation and in the presence of unknown disturbances. The conventional proportional observer (PO) fails to solve this problem unless the disturbances are known or can be explicitly modeled. Therefore, we provide a detailed analysis of the proportional integral observer (PIO) and its generalization (GPIO) for the load frequency control (LFC) of a single-area power system. This study demonstrates that both observers can be reliably employed, depending on the scenarios of system dynamics. Since they are able to estimate both the states and unknown disturbances, they can be integrated in LFC with disturbance accommodation to ensure the system stability and to satisfy the specified performance measures. Numerical examples are given to illustrate the advantage of GPI observer-based LFC for a single-area power system model.

Suggested Citation

  • Mehrdad Dorostian & Bahram Shafai, 2025. "Load Frequency Control of Power Systems Using GPI Observer-Based Controller," Energies, MDPI, vol. 18(15), pages 1-16, August.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:15:p:4117-:d:1716602
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    References listed on IDEAS

    as
    1. Li, Jia & Liu, Feng & Li, Zuyi & Shao, Chengcheng & Liu, Xinyuan, 2018. "Grid-side flexibility of power systems in integrating large-scale renewable generations: A critical review on concepts, formulations and solution approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 272-284.
    2. Seyed Mohammad Sharifhosseini & Taher Niknam & Mohammad Hossein Taabodi & Habib Asadi Aghajari & Ehsan Sheybani & Giti Javidi & Motahareh Pourbehzadi, 2024. "Investigating Intelligent Forecasting and Optimization in Electrical Power Systems: A Comprehensive Review of Techniques and Applications," Energies, MDPI, vol. 17(21), pages 1-35, October.
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