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Mitigation of Low-Frequency Oscillation in Power Systems through Optimal Design of Power System Stabilizer Employing ALO

Author

Listed:
  • Endeshaw Solomon Bayu

    (Department of Electrical and Computer Engineering, Hawassa University, Hawassa P.O. Box 05, Ethiopia)

  • Baseem Khan

    (Department of Electrical and Computer Engineering, Hawassa University, Hawassa P.O. Box 05, Ethiopia)

  • Zaid M. Ali

    (College of Engineering at Wadi Addawasir, Prince Sattam Bin Abdulaziz University, Wadi Addawasir 11991, Saudi Arabia
    Electrical Engineering Deptartment, Faculty of Engineering, Aswan University, Aswan 81542, Egypt)

  • Zuhair Muhammed Alaas

    (Electrical Engineering Department, College of Engineering, Jazan University, Jazan 45142, Saudi Arabia)

  • Om Prakash Mahela

    (Power System Planning Division, Rajasthan Rajya Vidyut Prasaran Nigam Ltd., Jaipur 302005, India)

Abstract

Low-frequency oscillations are an inevitable phenomenon of a power system. This paper proposes an Ant lion optimization approach to optimize the dual-input power system stabilizer (PSS2B) parameters to enhance the transfer capability of the 400 kV line in the North-West region of the Ethiopian electric network by the damping of low-frequency oscillation. Double-input Power system stabilizers (PSSs) are currently used in power systems to damp out low-frequency oscillations. The gained minimum damping ratio and eigenvalue results of the proposed Ant lion algorithm (ALO) approach are compared with the existing conventional system to get better efficiency at various loading conditions. Additionally, the proposed Ant lion optimization approach requires minimal time to estimate the key parameters of the power oscillation damper (POD). Consequently, the average time taken to optimally size the parameters of the PSS controller was 14.6 s, which is pretty small and indicates real-time implementation of an ALO developed model. The nonlinear equations that represent the system have been linearized and then placed in state-space form in order to study and analyze the dynamic performance of the system by damping out low-frequency oscillation problems. Finally, conventional fixed-gain PSS improves the maximum overshoot by 5.2% and settling time by 51.4%, but the proposed optimally sized PSS employed with the ALO method had improved the maximum overshoot by 16.86% and settling time by 78.7%.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3809-:d:821115
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    Citations

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    Cited by:

    1. Muhammad Majid Gulzar & Sadia Murawwat & Daud Sibtain & Kamal Shahid & Imran Javed & Yonghao Gui, 2022. "Modified Cascaded Controller Design Constructed on Fractional Operator ‘β’ to Mitigate Frequency Fluctuations for Sustainable Operation of Power Systems," Energies, MDPI, vol. 15(20), pages 1-17, October.
    2. Nader M. A. Ibrahim & Hossam E. A. Talaat & Abdullah M. Shaheen & Bassam A. Hemade, 2023. "Optimization of Power System Stabilizers Using Proportional-Integral-Derivative Controller-Based Antlion Algorithm: Experimental Validation via Electronics Environment," Sustainability, MDPI, vol. 15(11), pages 1-31, June.
    3. Ikram Boucetta & Djemai Naimi & Ahmed Salhi & Saleh Abujarad & Laid Zellouma, 2022. "Power System Stability Enhancement Using a Novel Hybrid Algorithm Based on the Water Cycle Moth-Flame Optimization," Energies, MDPI, vol. 15(14), pages 1-17, July.
    4. Endeshaw Solomon & Baseem Khan & Ilyes Boulkaibet & Bilel Neji & Nadhira Khezami & Ahmed Ali & Om Prakash Mahela & Alina Eugenia Pascual Barrera, 2023. "Mitigating Low-Frequency Oscillations and Enhancing the Dynamic Stability of Power System Using Optimal Coordination of Power System Stabilizer and Unified Power Flow Controller," Sustainability, MDPI, vol. 15(8), pages 1-29, April.
    5. 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.
    6. Tswa-wen Pierre-Patrick Banga-Banga & Carl Kriger & Yohan Darcy Mfoumboulou, 2022. "Decentralized Model-Reference Adaptive Control Based Algorithm for Power Systems Inter-Area Oscillation Damping," Energies, MDPI, vol. 15(22), pages 1-15, November.

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