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Reseach Article

Tuning of PID Controller in an Interconnected Power System using Particle Swarm Optimization

by Mallipeddi Kavya, Gummadi Srinivasa Rao
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 16
Year of Publication: 2015
Authors: Mallipeddi Kavya, Gummadi Srinivasa Rao
10.5120/20833-3513

Mallipeddi Kavya, Gummadi Srinivasa Rao . Tuning of PID Controller in an Interconnected Power System using Particle Swarm Optimization. International Journal of Computer Applications. 118, 16 ( May 2015), 35-42. DOI=10.5120/20833-3513

@article{ 10.5120/20833-3513,
author = { Mallipeddi Kavya, Gummadi Srinivasa Rao },
title = { Tuning of PID Controller in an Interconnected Power System using Particle Swarm Optimization },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 16 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 35-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number16/20833-3513/ },
doi = { 10.5120/20833-3513 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:01:55.650232+05:30
%A Mallipeddi Kavya
%A Gummadi Srinivasa Rao
%T Tuning of PID Controller in an Interconnected Power System using Particle Swarm Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 16
%P 35-42
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper, deals with tuning of PID controller for the Load Frequency Control (LFC) system of an interconnected power system using Particle Swarm Optimization (PSO). A two area thermal system with governor dead – band nonlinearity and a two area power system with multi-source power generation are considered for study. A two area multi-source power generation system comprises hydro, gas and thermal sources in area-1 and thermal source in area-2. Both the areas are equipped with PID controller. Parameters of these PID controllers are obtained using Particle Swarm Optimization (PSO). The objective function taken into consideration here is Integral Square Error (ISE). A comparative study on tuned values has been presented to confirm effectiveness. Ziegler-Nichols (Z-N) method is used for tuning of parameters for comparative study. The efficiency of the proposed method is confirmed via wide study using MATLAB/SIMULINK software. The existing LFC systems help out the frequency and tie line power deviations to settle quickly with zero steady state error.

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Index Terms

Computer Science
Information Sciences

Keywords

Load Frequency Control (LFC) Particle Swarm Optimization (PSO) Ziegler-Nichols (Z-N) method Area Control Error (ACE) PID controller.