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A Novel Hybrid Chaotic Jaya and Sequential Quadratic Programming Method for Robust Design of Power System Stabilizers and Static VAR Compensator

Author

Listed:
  • Yosra Welhazi

    (Department of Electrical Engineering, National Engineering School of Sfax, University of Sfax, Sfax 3038, Tunisia)

  • Tawfik Guesmi

    (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)

  • Khalid Alqunun

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

  • Ayoob Alateeq

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

  • Yasser Almalaq

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

  • Robaya Alsabhan

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

  • Hsan Hadj Abdallah

    (Department of Electrical Engineering, National Engineering School of Sfax, University of Sfax, Sfax 3038, Tunisia)

Abstract

This paper proposes a novel hybrid algorithm combining chaotic Jaya (CJaya) and sequential quadratic programming (SQP), namely CJaya-SQP, for solving the coordinated design problem of static var compensator (SVC) and power system stabilizers (PSSs). The CJaya serves as a global optimizer and the SQP as a local optimizer for fine-tuning the solution. In the proposed algorithm, chaotic maps are used to generate the initial solutions and control the search process. In order to prove the performance of the CJaya-SQP, a set of benchmark optimization problems is used where the results are compared with those of the basic Jaya and other recognized algorithms. The proposed optimization method is then applied for the optimal tuning of PSSs and SVC controllers in such a way that damping ratios and damping factors of the electromechanical modes are optimally improved. To illustrate the robustness of the CJaya-SQP-based coordinated PSSs and SVC controllers, the four-machine, two-area system is used. Eigenvalue analysis and nonlinear time-domain simulation vividly show that the CJaya-SQP-based coordinated controllers improve greatly the system’s dynamic stability with a robust damping of local and inter-area power oscillations.

Suggested Citation

  • Yosra Welhazi & Tawfik Guesmi & Badr M. Alshammari & Khalid Alqunun & Ayoob Alateeq & Yasser Almalaq & Robaya Alsabhan & Hsan Hadj Abdallah, 2022. "A Novel Hybrid Chaotic Jaya and Sequential Quadratic Programming Method for Robust Design of Power System Stabilizers and Static VAR Compensator," Energies, MDPI, vol. 15(3), pages 1-43, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:860-:d:733210
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    References listed on IDEAS

    as
    1. Sergio Bruno & Giovanni De Carne & Massimo La Scala, 2020. "Distributed FACTS for Power System Transient Stability Control," Energies, MDPI, vol. 13(11), pages 1-16, June.
    2. Yosra Welhazi & Tawfik Guesmi & Hsan Hadj Abdallah, 2015. "Eigenvalue Assignments in Multimachine Power Systems using Multi-Objective PSO Algorithm," International Journal of Energy Optimization and Engineering (IJEOE), IGI Global, vol. 4(3), pages 33-48, July.
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