A comparative study of the Z-N, adaptation law and PSO methods of tuning the PID controller of a synchronous machine

Gowrishankar Kasilingam, Pasupuleti Jagadeesh

Research output: Contribution to journalArticle

3 Citations (Scopus)

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 nonlinear 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.

Original languageEnglish
Pages (from-to)918-927
Number of pages10
JournalInternational Review on Modelling and Simulations
Volume7
Issue number6
DOIs
Publication statusPublished - 01 Dec 2014

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Chemical Engineering(all)
  • Mechanical Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'A comparative study of the Z-N, adaptation law and PSO methods of tuning the PID controller of a synchronous machine'. Together they form a unique fingerprint.

  • Cite this