A Comparative Study of the Z-N, Adaptation Law and PSO Methods of Tuning the PID Controller of a Synchronous Machine

Gowrishankar Kasilingam; Jagadeesh Pasupuleti

doi:10.15866/iremos.v7i6.4722

A Comparative Study of the Z-N, Adaptation Law and PSO Methods of Tuning the PID Controller of a Synchronous Machine

Gowrishankar Kasilingam^(1*), Jagadeesh Pasupuleti⁽²⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/iremos.v7i6.4722

Abstract

A proportional–integral–derivative (PID)-based power system stabilizer (PSS) was designed to damp low-frequency oscillations in power systems under different operating conditions. The parameters of the PID controller were tuned using a particle swarm optimization (PSO) algorithm. The performance of the PSO-PID-type PSS was thoroughly investigated and compared with those of the Ziegler–Nichols (Z-N) and adaptation law methods. The effectiveness of the PSO-PID with PSS is applied to a single-machine infinite-bus system connected to a non-linear load with different kinds of faults. The variations in the speed deviation, rotor angle and load angle were compared in a Simulink based MATLAB environment. The damping performance of the PSO-PID controller over a wide range of operating conditions is excellent.
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Keywords

Power System Stabilizer; PID Controller; Z-N; Adaptation Law; Particle Swarm Optimization; Non-Linear Load

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