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Robust design of damping controller for power system with snake optimization algorithm

Author

Listed:
  • Niharika Agrawal

    (Ghousia College of Engineering)

  • Sheila Mahapatra

    (Alliance University)

  • Faheem Ahmed Khan

    (Ghousia College of Engineering)

Abstract

The stable, safe, and secure operation of the power system is essential for all-round development. Low-Frequency Oscillations (LFO) created in the power system due to disturbances influence the system’s security and integrity. LFOs restrict the system’s power transfer capacity and, if not controlled, will grow and cause the system to collapse. In this paper, Snake Optimization Algorithm (SOA)-based damping controllers have been developed for the stability improvement of the system. This SOA has been tested on the Congress on Evolutionary Computation benchmark functions and has the key benefits of exploration and exploitation. The four simulation models are the system with no controller, the system with a Power System Stabilizer(PSS), the Thyristor Controlled Series Capacitor (TCSC), and the Coordinated PSS and TCSC (CPT). The damping performance of the models is tested with a step input disturbance for three loading conditions. It is also tested with a solid three-phase fault to ground on one of the transmission lines. With the CPT model, the highest damping ratios (0.8110, 0.9840, and 0.9960) are obtained for all loading conditions. The settling time for variation in different parameters is less than 2.0 s in this model. The simulation results, eigenvalues, and damping ratio analysis are provided to demonstrate how well all of the models dampen LFOs. The proposed SOA shows a remarkable capability in designing a robust power system. The integrity, security, and expected lifetime of the power system are enhanced due to better damping performance with this excellent SOA-based CPT model.

Suggested Citation

  • Niharika Agrawal & Sheila Mahapatra & Faheem Ahmed Khan, 2025. "Robust design of damping controller for power system with snake optimization algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(3), pages 1256-1286, March.
    • Handle: RePEc:spr:ijsaem:v:16:y:2025:i:3:d:10.1007_s13198-025-02708-5
    DOI: 10.1007/s13198-025-02708-5
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