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Interconnected power system network is disturbed by occurrence of oscillations with low frequencies. These oscillations cause fluctuation in voltage, frequency, active power distractions, and instability in system. These oscillations are damped by swarm algorithms like Modified Tunicate Swarm Algorithm (MTSA), Conventional Tunicate Swarm Algorithm (CTSA), and Particle Swarm Algorithm (PSO) tuned with power system stabilizers for multimachine power system. Low-frequency oscillation is damped by proposed MTSA which is equipped with PSS controller. The objective functions of error deviation and damping ratio are formulated to increase the stability of the system. Comparative study of stability performed with MTSA and contrasted with CTSA, PSO technique with various operating parameters and conditions is carried out.

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Power System Stability Improvement in Multimachine System with Modified Tunicate Swarm Algorithm-Based PSS Controller

  • 会议论文

  • 发表日期：

    2026年

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  • R. Shivakumar,
  • S. Sowranchana,
  • K. Udhayakumar

摘要

Interconnected power system network is disturbed by occurrence of oscillations with low frequencies. These oscillations cause fluctuation in voltage, frequency, active power distractions, and instability in system. These oscillations are damped by swarm algorithms like Modified Tunicate Swarm Algorithm (MTSA), Conventional Tunicate Swarm Algorithm (CTSA), and Particle Swarm Algorithm (PSO) tuned with power system stabilizers for multimachine power system. Low-frequency oscillation is damped by proposed MTSA which is equipped with PSS controller. The objective functions of error deviation and damping ratio are formulated to increase the stability of the system. Comparative study of stability performed with MTSA and contrasted with CTSA, PSO technique with various operating parameters and conditions is carried out.