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MPPT using Pitch Angle with Various Control Algorithms in Wind Energy Conversion System

by I. Arul, M. Karthikeyan, N. Krishnan, P. Anush
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 7
Year of Publication: 2013
Authors: I. Arul, M. Karthikeyan, N. Krishnan, P. Anush
10.5120/12897-9805

I. Arul, M. Karthikeyan, N. Krishnan, P. Anush . MPPT using Pitch Angle with Various Control Algorithms in Wind Energy Conversion System. International Journal of Computer Applications. 74, 7 ( July 2013), 15-18. DOI=10.5120/12897-9805

@article{ 10.5120/12897-9805,
author = { I. Arul, M. Karthikeyan, N. Krishnan, P. Anush },
title = { MPPT using Pitch Angle with Various Control Algorithms in Wind Energy Conversion System },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 7 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 15-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number7/12897-9805/ },
doi = { 10.5120/12897-9805 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:41:37.207885+05:30
%A I. Arul
%A M. Karthikeyan
%A N. Krishnan
%A P. Anush
%T MPPT using Pitch Angle with Various Control Algorithms in Wind Energy Conversion System
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 7
%P 15-18
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper discusses the performance of various intelligent control schemes in extracting maximum wind power using doubly fed induction generator (DFIG). Intelligent control scheme such as fuzzy, neuro-fuzzy, and genetic algorithm based fuzzy controllers are applied for pitch control of DFIG based wind generation system. Wind generation system with eight numbers of identical 1. 5MW wind generators with reactive and real load is considered. Performance of various intelligent controllers is compared with PID controllers. Simulation results show that the performance of intelligent controllers better than PID controllers and in particular GA based fuzzy controller is better than other intelligent controllers.

References
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Index Terms

Computer Science
Information Sciences

Keywords

PI Controller DFIG Pitch Control Fuzzy systems Genetic Algorithm Neuro-fuzzy

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