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An Intelligent Maximum Power Point Tracking Algorithm for Wind Energy System

by P. Devaki, J.devi Shree, S. Nandini
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 7
Year of Publication: 2013
Authors: P. Devaki, J.devi Shree, S. Nandini
10.5120/10933-5882

P. Devaki, J.devi Shree, S. Nandini . An Intelligent Maximum Power Point Tracking Algorithm for Wind Energy System. International Journal of Computer Applications. 65, 7 ( March 2013), 1-6. DOI=10.5120/10933-5882

@article{ 10.5120/10933-5882,
author = { P. Devaki, J.devi Shree, S. Nandini },
title = { An Intelligent Maximum Power Point Tracking Algorithm for Wind Energy System },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 7 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number7/10933-5882/ },
doi = { 10.5120/10933-5882 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:18:04.916035+05:30
%A P. Devaki
%A J.devi Shree
%A S. Nandini
%T An Intelligent Maximum Power Point Tracking Algorithm for Wind Energy System
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 7
%P 1-6
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

To obtain the maximum power from the variable speed wind generator, fuzzy logic controller is used. Hill-Climbing Search (HCS) technique is used to track the maximum power point. The maximum power is tracked for different wind speeds and load impedance variations. The measurement of wind speed, and rectifier output voltage are applied to fuzzy logic controller to estimate and control the optimal of maximum output power. The inputs to the FLC are the normalized values of error and variation of error. Triangular membership functions are used for input and output variables. The performance of both the schemes are simulated and a comparison is made. The simulation work is done in MATLAB 2010 environment.

References
  1. Joanne Hui, Alireza Bakhshai, and Praveen K. Jain, Fellow, 2010 IEEE CONF, "A Master-Slave Fuzzy Logic Control Scheme for Maximum Power Point Tracking in Wind Energy Systems," 978-1-4244-3384-1/10.
  2. Md. Arifujjaman, M. Tariq Iqbal, John E. Quaicoe, M. Jahangir Khan, May 2005," Modeling And Control Of A Small Wind Turbine," 2005 IEEE,CCECE/CCGEI, Saskatoon.
  3. Quincy Wang, and Liuchen," SEPTEMBER 2004, An Intelligent Maximum Power Extraction Algorithm for Inverter-Based Variable Speed Wind Turbine Systems," IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 19, NO. 5.
  4. Eftichios Koutroulis and Kostas Kalaitzakis," APRIL 2006, Design of a Maximum Power Tracking System for Wind-Energy-Conversion Applications," IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 53, NO. 2.
  5. Mostafa El Mokadem, Vincent Courtecuisse, Christophe Saudemont, Benoit Robyns and Jacques Deuse, FEBRUARY 2009," Fuzzy Logic Supervisor-Based Primary Frequency Control Experiments of a Variable-Speed Wind Generator," IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 24, NO. 1.
  6. Vladimir Lazarov, Daniel Roye, Dimitar Spirov and Zahari Zarkov, EPE-PEMC 2010," Study of Control Strategies for Variable Speed Wind Turbine under Limited Power Conditions," 14th International Power Electronics and Motion Control Conference.
  7. Ahmad Nadhir, Agus Naba, and Takashi Hiyama, August 2011," Intelligent Gradient Detection on MPPT Control for VariableSpeed Wind Energy Conversion System," ACEEE Int. J. on Electrical and Power Engineering, Vol. 02, No. 02.
  8. Evgenije Adzic, Zoran Ivanovic, Milan Adzic and Vladimir Katic , August 2011,"Maximum Power Search in Wind Turbine Based on Fuzzy Logic Control," Acta Polytechnica Hungarica ,Vol. 6, No. 1.
  9. R. Datta and V. -T. Ranganathan, March 2003 ,"A method of tracking the peak power points for a variable speed wind energy conversion system," IEEE Transactions on Energy Conversion, vol. 18, pp. 163–168.
  10. M. Chinchilla, S. Arnaltes, and J. -C. Burgos, March 2006, "Control of permanent-magnet generators applied to variable-speed wind-energy systems connected to the grid," IEEE Transactions on Energy Conversion, vol. 21, pp. 130–135.
  11. E. Koutroulis and K. Kalaitzakis, April 2006, "Design of a maximum power tracking system for wind-energy-conversion applications," IEEE Transactions on Industrial Electronics, vol. 53.
Index Terms

Computer Science
Information Sciences

Keywords

Maximum Power Point Tracking (MPPT) Permanent Magnet Synchronous Generator (PMSG) Fuzzy Logic Control (FLC) Variable-Speed Wind Turbine (VSWT) power converters

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