CFP last date
01 January 2025
Call for Paper
February Edition
CAE solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 01 January 2025

Submit your paper
Know more
The week's pick
Responsive image
Property (Land) Registration Management Using Blockchain in Nigeria

A. Festus Osuolale Ojebiyi David-Daniel Seriki Oluwasogo
Random Articles
Reseach Article

Genetic Algorithm-Optimized PID Controller for better Performance of PV System

by Roshdy Abdelrassoul, Yosra Ali, Mohamed Saad Zaghloul
journal cover thumbnail

Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 5 - Number 9
Year of Publication: 2016
Authors: Roshdy Abdelrassoul, Yosra Ali, Mohamed Saad Zaghloul
10.5120/cae2016652380

Roshdy Abdelrassoul, Yosra Ali, Mohamed Saad Zaghloul . Genetic Algorithm-Optimized PID Controller for better Performance of PV System. Communications on Applied Electronics. 5, 9 ( Sep 2016), 55-60. DOI=10.5120/cae2016652380

@article{ 10.5120/cae2016652380,
author = { Roshdy Abdelrassoul, Yosra Ali, Mohamed Saad Zaghloul },
title = { Genetic Algorithm-Optimized PID Controller for better Performance of PV System },
journal = { Communications on Applied Electronics },
issue_date = { Sep 2016 },
volume = { 5 },
number = { 9 },
month = { Sep },
year = { 2016 },
issn = { 2394-4714 },
pages = { 55-60 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume5/number9/654-2016652380/ },
doi = { 10.5120/cae2016652380 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T19:55:48.149588+05:30
%A Roshdy Abdelrassoul
%A Yosra Ali
%A Mohamed Saad Zaghloul
%T Genetic Algorithm-Optimized PID Controller for better Performance of PV System
%J Communications on Applied Electronics
%@ 2394-4714
%V 5
%N 9
%P 55-60
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent years, a radical increase of photovoltaic (PV) power generators installation took place because of increased efficiency of solar cells, as well as the growth of manufacturing technology of solar panels. This paper shows the operation and modeling of photovoltaic systems, particularly designing PID controller to control the system. Parameters of the designed controller are tuned using genetic algorithm (GA) which leads to getting the best performance of the designed PV system. Using GA the maximum overshoot and rise time obtained become 0.1% and 0.175 seconds, respectively.

References
  1. Pandiarajan, N.; Muthu, Ranganath. Mathematical modeling of photovoltaic module with Simulink. In: Proceeding of International Conference on Electrical Energy System. 2011. pp. 3 -5.‏
  2. Qi, Chen; Ming, Zhu. Photovoltaic module Simulink model for a stand-alone PV system. physics procedia, 2012, 24: pp. 94 -100.‏
  3. Sahin, Erol; Ayas, Mustafa Sinasi; Altas, Ismail Hakki. A PSO optimized fractional-order PID controller for a PV system with DC-DC boost converter. In:Power Electronics and Motion Control Conference and Exposition (PEMC), 2014 16th International. IEEE, 2014. pp. 477 - 481.‏
  4. Chowdhury, Ahmed Sony Kamal; Salam, K. M. A.; Razzak, M. Abdur. Modeling of MATLAB-Simulink based photovoltaic module using flyback converter. In: Strategic Technology (IFOST), 2014 9th International Forum on. IEEE, 2014. pp. 378 - 381.‏
  5. Brigitte Hauke, “Low power DC-DC application/Basic calculation of a boost converter’s power stage”, Texas Instrument application report, July, 2010.
  6. L.Y. Chang, H.C. Chen, “Tuning of fractional PID controllers using adaptive genetic algorithm for active magnetic bearing system”, WSEAS Transactions on Systems, Vol. 8, 2009, pp. 226-236.
  7. A. Biswas, S. Das, A. Abraham, S. Dasgupta, “Design of fractionalorder P IλDµ controllers with an improved differential evolution”, Engineering Applications of Artificial Intelligence, Vol. 22, 2009, pp. 343- 350.
  8. M. Zamania, M. Karimi-Ghartemanib, N. Sadatib, M. Parnianib,, “Design of a fractional order PID controller for an AVR using particle swarm ptimization”, Control Engineering Practice, Vol. 17, 2009, pp. 1380-1387.
  9. Johnson, Michael A., and Mohammad H. Moradi. PID control. Springer-Verlag London Limited, 2005.
  10. Haupt Randy L., Haupt Sue Ellen, "Practical Genetic Algorithms" Second Edition, 2004, pp.189-190.
Index Terms

Computer Science
Information Sciences

Keywords

Genetic algorithm photovoltaic PID controller

Powered by PhDFocusTM