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A Backstepping Control Strategy for Power System Stability Enhancement

Author

Listed:
  • Wissem Bahloul

    (Control & Energy Management Laboratory, Sfax Engineering School, University of Sfax, Sfax 3029, Tunisia)

  • Mohamed Ali Zdiri

    (Control & Energy Management Laboratory, Sfax Engineering School, University of Sfax, Sfax 3029, Tunisia)

  • Ismail Marouani

    (Control & Energy Management Laboratory, Sfax Engineering School, University of Sfax, Sfax 3029, Tunisia)

  • Khalid Alqunun

    (Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 2240, Saudi Arabia)

  • Badr M. Alshammari

    (Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 2240, Saudi Arabia)

  • Mansoor Alturki

    (Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 2240, Saudi Arabia)

  • Tawfik Guesmi

    (Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 2240, Saudi Arabia)

  • Hsan Hadj Abdallah

    (Control & Energy Management Laboratory, Sfax Engineering School, University of Sfax, Sfax 3029, Tunisia)

  • Kamel Tlijani

    (Control & Energy Management Laboratory, Sfax Engineering School, University of Sfax, Sfax 3029, Tunisia)

Abstract

Secure power system operation relies extensively on the analysis of transient stability and control. The dynamics involved in power system control are often complex and nonlinear. Most of the currently existing works approach these frequent problems with nonlinear control techniques, leading to a requirement for specific controller parameter adjustments. In these veins, this paper proposes a new method for stabilizing electric power systems, using nonlinear backstepping control by optimizing the controller’s parameters. The Jaya algorithm and Genetic algorithm are utilized as a powerful meta-heuristic optimization technique to search parameters of an optimal controller. Improvement in system damping, transient stability, and voltage regulation has been achieved by minimizing the integral time absolute error (ITAE) as the objective function. Numerical simulations on an SMIB power system under different fault conditions showed that the proposed method outperforms classical power system stabilizer (PSS) methods, reducing overshoots and settling times and eliminating steady-state errors. These findings highlight the effectiveness of the proposed approach and its potential contribution to the development of advanced nonlinear control techniques for electric power systems. The suggested optimization methods demonstrate superior performance, compared to classical methods, and achieve a reduction of 27.5% in overshoot and 87% in transient time in addition to complete elimination of static error.

Suggested Citation

  • Wissem Bahloul & Mohamed Ali Zdiri & Ismail Marouani & Khalid Alqunun & Badr M. Alshammari & Mansoor Alturki & Tawfik Guesmi & Hsan Hadj Abdallah & Kamel Tlijani, 2023. "A Backstepping Control Strategy for Power System Stability Enhancement," Sustainability, MDPI, vol. 15(11), pages 1-21, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:9022-:d:1162873
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    References listed on IDEAS

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    1. Vagelis Plevris & German Solorzano, 2022. "A Collection of 30 Multidimensional Functions for Global Optimization Benchmarking," Data, MDPI, vol. 7(4), pages 1-51, April.
    2. Salma Keskes & Nouha Bouchiba & Soulaymen Kammoun & Souhir Sallem & Larbi Chrifi-Alaoui & Mohamed Ben Ali Kammoun, 2018. "An improved Backstepping technique using sliding mode control for transient stability enhancement and voltage regulation of SMIB power system," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(9), pages 1964-1973, July.
    3. Preeti Ranjan Sahu & Rajesh Kumar Lenka & Rajendra Kumar Khadanga & Prakash Kumar Hota & Sidhartha Panda & Taha Selim Ustun, 2022. "Power System Stability Improvement of FACTS Controller and PSS Design: A Time-Delay Approach," Sustainability, MDPI, vol. 14(21), pages 1-22, November.
    4. Anouar Farah & Akram Belazi & Khalid Alqunun & Abdulaziz Almalaq & Badr M. Alshammari & Mohamed Bechir Ben Hamida & Rabeh Abbassi, 2021. "A New Design Method for Optimal Parameters Setting of PSSs and SVC Damping Controllers to Alleviate Power System Stability Problem," Energies, MDPI, vol. 14(21), pages 1-26, November.
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    Cited by:

    1. Qi Yang & Jing Qian & Jia Li & Yidong Zou & Danning Tian & Yun Zeng & Yan Long & Ganyuan Zhang, 2023. "A New Integral Sliding Mode Control for Hydraulic Turbine Governing Systems Based on Nonlinear Disturbance Observer Compensation," Sustainability, MDPI, vol. 15(17), pages 1-21, August.

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