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

Yosra Welhazi, Tawfik Guesmi, Badr M. Alshammari, Khalid Alqunun, Ayoob Alateeq, Yasser Almalaq, Robaya Alsabhan and Hsan Hadj Abdallah
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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

Energies, 2022, vol. 15, issue 3, 1-43

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.

Keywords: power system stabilizers; SVC controllers; time domain simulation; eigenvalue analysis; Jaya; SQP; chaos theory (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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