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Implementing Optimization Techniques in PSS Design for Multi-Machine Smart Power Systems: A Comparative Study

Author

Listed:
  • Aliyu Sabo

    (Advanced Lightning and Power Energy System (ALPER), Department of Electrical/Electronic Engineering, Faculty of Engineering, University Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia)

  • Theophilus Ebuka Odoh

    (Advanced Lightning and Power Energy System (ALPER), Department of Electrical/Electronic Engineering, Faculty of Engineering, University Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia)

  • Hossien Shahinzadeh

    (Smart Microgrid Research Center, Najafabad Branch, Islamic Azad University, Najafabad 85141-43131, Iran
    Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran 15916-34311, Iran)

  • Zahra Azimi

    (Smart Microgrid Research Center, Najafabad Branch, Islamic Azad University, Najafabad 85141-43131, Iran
    Department of Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran 14778-93855, Iran)

  • Majid Moazzami

    (Smart Microgrid Research Center, Najafabad Branch, Islamic Azad University, Najafabad 85141-43131, Iran
    Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad 85141-43131, Iran)

Abstract

This study performed a comparative analysis of five new meta-heuristic algorithms specifically adopted based on two general classifications; namely, nature-inspired, which includes artificial eco-system optimization (AEO), African vulture optimization algorithm (AVOA), gorilla troop optimization (GTO), and non-nature-inspired or based on mathematical and physics concepts, which includes gradient-based optimization (GBO) and Runge Kutta optimization (RUN) for optimal tuning of multi-machine power system stabilizers (PSSs). To achieve this aim, the algorithms were applied in the PSS design for a multi-machine smart power system. The PSS design was formulated as an optimization problem, and the eigenvalue-based objective function was adopted to improve the damping of electromechanical modes. The expressed objective function helped to determine the stabilizer parameters and enhanced the dynamic performance of the multi-machine power system. The performance of the algorithms in the PSS’s design was evaluated using the Western System Coordinating Council (WSCC) multi-machine power test system. The results obtained were compared with each other. When compared to nature-inspired algorithms (AEO, AVOA, and GTO), non-nature-inspired algorithms (GBO and RUN) reduced low-frequency oscillations faster by improving the damping of electromechanical modes and providing a better convergence ratio and statistical performance.

Suggested Citation

  • Aliyu Sabo & Theophilus Ebuka Odoh & Hossien Shahinzadeh & Zahra Azimi & Majid Moazzami, 2023. "Implementing Optimization Techniques in PSS Design for Multi-Machine Smart Power Systems: A Comparative Study," Energies, MDPI, vol. 16(5), pages 1-25, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2465-:d:1088114
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    References listed on IDEAS

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    1. Lakhdar Chaib & Abdelghani Choucha & Salem Arif & Hatim G. Zaini & Attia El-Fergany & Sherif S. M. Ghoneim, 2021. "Robust Design of Power System Stabilizers Using Improved Harris Hawk Optimizer for Interconnected Power System," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
    2. Endeshaw Solomon Bayu & Baseem Khan & Zaid M. Ali & Zuhair Muhammed Alaas & Om Prakash Mahela, 2022. "Mitigation of Low-Frequency Oscillation in Power Systems through Optimal Design of Power System Stabilizer Employing ALO," Energies, MDPI, vol. 15(10), pages 1-29, May.
    3. Aliyu Sabo & Noor Izzri Abdul Wahab & Mohammad Lutfi Othman & Mai Zurwatul Ahlam Mohd Jaffar & Hakan Acikgoz & Hamzeh Beiranvand, 2020. "Application of Neuro-Fuzzy Controller to Replace SMIB and Interconnected Multi-Machine Power System Stabilizers," Sustainability, MDPI, vol. 12(22), pages 1-42, November.
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    Cited by:

    1. Aliyu Sabo & Theophilus Ebuka Odoh & Veerapandiyan Veerasamy & Noor Izzri Abdul Wahab, 2024. "Modified Multimachine Power System Design with DFIG-WECS and Damping Controller," Energies, MDPI, vol. 17(8), pages 1-23, April.

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