CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
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.

References
  1. Ivan Zelinka , Pandian Vasant , Nader Barsoum "Power, Control and Optimization (Lecture Notes in Electrical Engineering) ",Hardcover – Import, 23 May 2013.
  2. Majid Alizadeh Moghadam*, Saeed Jalilzadeh, "Control of AGC in Interconnected Power System with Diverse Sources of Power Generation", Universal Journal of Electrical and Electronic Engineering 2(7): 259-269, 2014.
  3. K. P. Singh Parmar, "PSO based PI Controller for the LFC System of an Interconnected Power System", International Journal of Computer Applications (0975 – 8887) Volume 88 – No. 7, February 2014.
  4. A. Sharif, K. Sabahi, M. Aliyari Shoorehdeli, M. A. Nekoui, M. Teshnehlab, "Load Frequency Control in Interconnected power System Using Multi-objective PID Controller", 2008 IEEE Conference on Soft Computing in Industrial Applications (SMCia/08), June 25-27, 2008, Muroran, Japan
  5. Santigopal Pain, Parimal Acharjee, "Multiobjective Optimization of Load Frequency Control using PSO", International Journal of Emerging Technology and Advanced Engineering, Volume 4, Special Issue 7, April 2014.
  6. Ranuva Nageswara Rao, P. Rama Krishna Reddy " PSO based tuning of PID controller for a Load frequency control in two area power system" International Journal of Engineering Research and Applications (IJERA), Vol. 1, Issue 3, pp. 1499-1505.
  7. Elgerd OI. Electric energy system theory: an introduction. 2nd ed. New York: McGraw Hill; 1983.
  8. IEEE power engineering systems committee report. Dynamic models for steam and hydro turbines for power systems studies, IEEE Trans Power App Syst 1973; PAS-92.
  9. IEEE power engineering systems committee report. Hydraulic turbine and turbine control models for system dynamics. IEEE Trans Power Syst 1992;PWRS-7.
  10. Working group on prime mover and energy supply models for system dynamic performance studies. Dynamic models for combined cycle plants in power system studies. IEEE Trans Power Syst 1994; 9(3):1698–708.
  11. P S R MURTY "Operation and Control in Power Systems".
  12. Ashok Mohan Jadhav, Dr. K. Vadirajacharya, "Performance Verification of PID Controller in an Interconnected Power System Using Particle Swarm Optimization". 2nd International Conference on Advances in Energy Engineering (ICAEE2011).
  13. K. Ogata, "Modern Control Engineering", Prentice Hall Of India, New Delhi, 2000.
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.