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An Intelligent Maximum Power Point Tracking Algorithm for Wind Energy System

by P. Devaki, J.devi Shree, S. Nandini
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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
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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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