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Power System Stability Improvement Based on Virus Particle Swarm Optimization Algorithm

Author

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  • Payam Qaderi Baban

    (Islamic Azad University, Iran)

  • Farzad Mir

    (University of Houston, USA)

  • Farshad Ebrahimi

    (University of Houston, USA)

Abstract

This article discusses the development of a Power System Stabilizer (PSS) utilizing the Virus Particle Swarm Optimization Algorithm (VEPSO) to enhance power system stability. PSS is commonly used in the industry to suppress power system oscillations. The proposed algorithm was implemented on a Single Machine Infinite Bus (SMIB) system, and the PSS controller coefficients were optimized using VEPSO. The system was simulated under a specific disturbance in the generator input power, and the generator's dynamic responses were presented. The VEPSO algorithm's results, such as faster convergence, were compared to the ICA algorithm. The simulation results demonstrate that the recommended PSS significantly improves the power system's oscillation damping performance.

Suggested Citation

  • Payam Qaderi Baban & Farzad Mir & Farshad Ebrahimi, 2023. "Power System Stability Improvement Based on Virus Particle Swarm Optimization Algorithm," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 7(3), pages 35-40, April.
    • Handle: RePEc:epw:ejece0:v:7:y:2023:i:3:id:19526
    DOI: 10.24018/ejece.2023.7.3.526
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