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

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...

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Main Authors: Yosra Welhazi, Tawfik Guesmi, Badr M. Alshammari, Khalid Alqunun, Ayoob Alateeq, Yasser Almalaq, Robaya Alsabhan, Hsan Hadj Abdallah
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/3/860
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author Yosra Welhazi
Tawfik Guesmi
Badr M. Alshammari
Khalid Alqunun
Ayoob Alateeq
Yasser Almalaq
Robaya Alsabhan
Hsan Hadj Abdallah
author_facet Yosra Welhazi
Tawfik Guesmi
Badr M. Alshammari
Khalid Alqunun
Ayoob Alateeq
Yasser Almalaq
Robaya Alsabhan
Hsan Hadj Abdallah
author_sort Yosra Welhazi
collection DOAJ
description 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.
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spelling doaj.art-c4253580376d46ccbd52057e156c60802023-11-23T16:21:06ZengMDPI AGEnergies1996-10732022-01-0115386010.3390/en15030860A Novel Hybrid Chaotic Jaya and Sequential Quadratic Programming Method for Robust Design of Power System Stabilizers and Static VAR CompensatorYosra Welhazi0Tawfik Guesmi1Badr M. Alshammari2Khalid Alqunun3Ayoob Alateeq4Yasser Almalaq5Robaya Alsabhan6Hsan Hadj Abdallah7Department of Electrical Engineering, National Engineering School of Sfax, University of Sfax, Sfax 3038, TunisiaDepartment of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 2240, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 2240, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 2240, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 2240, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 2240, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 2240, Saudi ArabiaDepartment of Electrical Engineering, National Engineering School of Sfax, University of Sfax, Sfax 3038, TunisiaThis 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.https://www.mdpi.com/1996-1073/15/3/860power system stabilizersSVC controllerstime domain simulationeigenvalue analysisJayaSQP
spellingShingle Yosra Welhazi
Tawfik Guesmi
Badr M. Alshammari
Khalid Alqunun
Ayoob Alateeq
Yasser Almalaq
Robaya Alsabhan
Hsan Hadj Abdallah
A Novel Hybrid Chaotic Jaya and Sequential Quadratic Programming Method for Robust Design of Power System Stabilizers and Static VAR Compensator
Energies
power system stabilizers
SVC controllers
time domain simulation
eigenvalue analysis
Jaya
SQP
title A Novel Hybrid Chaotic Jaya and Sequential Quadratic Programming Method for Robust Design of Power System Stabilizers and Static VAR Compensator
title_full A Novel Hybrid Chaotic Jaya and Sequential Quadratic Programming Method for Robust Design of Power System Stabilizers and Static VAR Compensator
title_fullStr A Novel Hybrid Chaotic Jaya and Sequential Quadratic Programming Method for Robust Design of Power System Stabilizers and Static VAR Compensator
title_full_unstemmed A Novel Hybrid Chaotic Jaya and Sequential Quadratic Programming Method for Robust Design of Power System Stabilizers and Static VAR Compensator
title_short A Novel Hybrid Chaotic Jaya and Sequential Quadratic Programming Method for Robust Design of Power System Stabilizers and Static VAR Compensator
title_sort novel hybrid chaotic jaya and sequential quadratic programming method for robust design of power system stabilizers and static var compensator
topic power system stabilizers
SVC controllers
time domain simulation
eigenvalue analysis
Jaya
SQP
url https://www.mdpi.com/1996-1073/15/3/860
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