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

Fingerprint

Power System Stabilizer
Synchronous Machine
Particle swarm optimization (PSO)
Particle Swarm Optimization
Comparative Study
Optimization Methods
Tuning
Controller
Controllers
Angle
Simulink
Single Machine
Particle Swarm Optimization Algorithm
Type Systems
Power System
Rotor
MATLAB
Low Frequency
Damping
Fault

All Science Journal Classification (ASJC) codes

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

Cite this

@article{7ddd51547cb045bea4ff98a15375a4f0,
title = "A comparative study of the Z-N, adaptation law and PSO methods of tuning the PID controller of a synchronous machine",
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.",
author = "Gowrishankar Kasilingam and Pasupuleti Jagadeesh",
year = "2014",
month = "12",
day = "1",
doi = "10.15866/iremos.v7i6.4722",
language = "English",
volume = "7",
pages = "918--927",
journal = "International Review on Modelling and Simulations",
issn = "1974-9821",
publisher = "Praise Worthy Prize",
number = "6",

}

TY - JOUR

T1 - A comparative study of the Z-N, adaptation law and PSO methods of tuning the PID controller of a synchronous machine

AU - Kasilingam, Gowrishankar

AU - Jagadeesh, Pasupuleti

PY - 2014/12/1

Y1 - 2014/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84924582142&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84924582142&partnerID=8YFLogxK

U2 - 10.15866/iremos.v7i6.4722

DO - 10.15866/iremos.v7i6.4722

M3 - Article

AN - SCOPUS:84924582142

VL - 7

SP - 918

EP - 927

JO - International Review on Modelling and Simulations

JF - International Review on Modelling and Simulations

SN - 1974-9821

IS - 6

ER -