New approach of maximum power point tracking for wind energy conversion system

This paper presents the modeling of wind energy systems using MATLAB Simulink. The model considers the MPPT (Maximum Power Point Tracking) technique to track the maximum power that could be extracted from the wind energy. The main contribution of our work lines in the choice of the Wind Energy Conve...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Wind engineering 2022-12, Vol.46 (6), p.1735-1752
1. Verfasser: Tounsi, Souhir
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1752
container_issue 6
container_start_page 1735
container_title Wind engineering
container_volume 46
creator Tounsi, Souhir
description This paper presents the modeling of wind energy systems using MATLAB Simulink. The model considers the MPPT (Maximum Power Point Tracking) technique to track the maximum power that could be extracted from the wind energy. The main contribution of our work lines in the choice of the Wind Energy Conversion System (WECS) components and the suitable MPPT technique. An innovating maximum MPPT technique is proposed. This technique combines the advantages of an ameliorated Perturb & Observe (P&O) control algorithm and the speed of Optimal Relationship Based (ORB) control algorithm to allow the MPPT controller output (duty cycle) adjusts the voltage input of a Buck-Boost converter to track the maximum power point. It searches for the system optimum relationship for maximum power point tracking and then controls the system based on this relationship. The main advantage of the proposed technique is that it does not require an anemometer or preknowledge of a system, but has an accurate and fast response to wind speed fluctuations. The MATLAB/Simulink simulation results show that the developed model components choice complies with cost and reliability constraints and confirm the validity and performance of the proposed control algorithm.
doi_str_mv 10.1177/0309524X221103278
format Article
fullrecord <record><control><sourceid>sage_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1177_0309524X221103278</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_0309524X221103278</sage_id><sourcerecordid>10.1177_0309524X221103278</sourcerecordid><originalsourceid>FETCH-LOGICAL-c214t-65b9c99acac644515d9128ec963504b9279d55f8c4890f002df6a380e882bd0d3</originalsourceid><addsrcrecordid>eNp9kMtOwzAQRS0EEqXwAez8Aykzjp3YS1TxkqqyAam7yHHskkLsyE4J_fu2KjskNnMXc89odAi5RZghluUd5KAE4yvGECFnpTwjEwZcZhzY6pxMjvvsWLgkVyltAJAj8glZLu1Idd_HoM0HDY52-qftth3tw2jjYbZ-oEPU5rP1a-pCpGPrG2q9jesdNcF_25ja4GnapcF21-TC6a9kb35zSt4fH97mz9ni9ellfr_IDEM-ZIWolVFKG20KzgWKRiGT1qgiF8BrxUrVCOGk4VKBA2CNK3QuwUrJ6gaafErwdNfEkFK0rupj2-m4qxCqo5Dqj5ADMzsxSa9ttQnb6A8v_gPsAXjjYRY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>New approach of maximum power point tracking for wind energy conversion system</title><source>SAGE Complete A-Z List</source><creator>Tounsi, Souhir</creator><creatorcontrib>Tounsi, Souhir</creatorcontrib><description>This paper presents the modeling of wind energy systems using MATLAB Simulink. The model considers the MPPT (Maximum Power Point Tracking) technique to track the maximum power that could be extracted from the wind energy. The main contribution of our work lines in the choice of the Wind Energy Conversion System (WECS) components and the suitable MPPT technique. An innovating maximum MPPT technique is proposed. This technique combines the advantages of an ameliorated Perturb &amp; Observe (P&amp;O) control algorithm and the speed of Optimal Relationship Based (ORB) control algorithm to allow the MPPT controller output (duty cycle) adjusts the voltage input of a Buck-Boost converter to track the maximum power point. It searches for the system optimum relationship for maximum power point tracking and then controls the system based on this relationship. The main advantage of the proposed technique is that it does not require an anemometer or preknowledge of a system, but has an accurate and fast response to wind speed fluctuations. The MATLAB/Simulink simulation results show that the developed model components choice complies with cost and reliability constraints and confirm the validity and performance of the proposed control algorithm.</description><identifier>ISSN: 0309-524X</identifier><identifier>EISSN: 2048-402X</identifier><identifier>DOI: 10.1177/0309524X221103278</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><ispartof>Wind engineering, 2022-12, Vol.46 (6), p.1735-1752</ispartof><rights>The Author(s) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c214t-65b9c99acac644515d9128ec963504b9279d55f8c4890f002df6a380e882bd0d3</citedby><cites>FETCH-LOGICAL-c214t-65b9c99acac644515d9128ec963504b9279d55f8c4890f002df6a380e882bd0d3</cites><orcidid>0000-0002-4930-4959</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/0309524X221103278$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/0309524X221103278$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21817,27922,27923,43619,43620</link.rule.ids></links><search><creatorcontrib>Tounsi, Souhir</creatorcontrib><title>New approach of maximum power point tracking for wind energy conversion system</title><title>Wind engineering</title><description>This paper presents the modeling of wind energy systems using MATLAB Simulink. The model considers the MPPT (Maximum Power Point Tracking) technique to track the maximum power that could be extracted from the wind energy. The main contribution of our work lines in the choice of the Wind Energy Conversion System (WECS) components and the suitable MPPT technique. An innovating maximum MPPT technique is proposed. This technique combines the advantages of an ameliorated Perturb &amp; Observe (P&amp;O) control algorithm and the speed of Optimal Relationship Based (ORB) control algorithm to allow the MPPT controller output (duty cycle) adjusts the voltage input of a Buck-Boost converter to track the maximum power point. It searches for the system optimum relationship for maximum power point tracking and then controls the system based on this relationship. The main advantage of the proposed technique is that it does not require an anemometer or preknowledge of a system, but has an accurate and fast response to wind speed fluctuations. The MATLAB/Simulink simulation results show that the developed model components choice complies with cost and reliability constraints and confirm the validity and performance of the proposed control algorithm.</description><issn>0309-524X</issn><issn>2048-402X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kMtOwzAQRS0EEqXwAez8Aykzjp3YS1TxkqqyAam7yHHskkLsyE4J_fu2KjskNnMXc89odAi5RZghluUd5KAE4yvGECFnpTwjEwZcZhzY6pxMjvvsWLgkVyltAJAj8glZLu1Idd_HoM0HDY52-qftth3tw2jjYbZ-oEPU5rP1a-pCpGPrG2q9jesdNcF_25ja4GnapcF21-TC6a9kb35zSt4fH97mz9ni9ellfr_IDEM-ZIWolVFKG20KzgWKRiGT1qgiF8BrxUrVCOGk4VKBA2CNK3QuwUrJ6gaafErwdNfEkFK0rupj2-m4qxCqo5Dqj5ADMzsxSa9ttQnb6A8v_gPsAXjjYRY</recordid><startdate>202212</startdate><enddate>202212</enddate><creator>Tounsi, Souhir</creator><general>SAGE Publications</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-4930-4959</orcidid></search><sort><creationdate>202212</creationdate><title>New approach of maximum power point tracking for wind energy conversion system</title><author>Tounsi, Souhir</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c214t-65b9c99acac644515d9128ec963504b9279d55f8c4890f002df6a380e882bd0d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tounsi, Souhir</creatorcontrib><collection>CrossRef</collection><jtitle>Wind engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tounsi, Souhir</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>New approach of maximum power point tracking for wind energy conversion system</atitle><jtitle>Wind engineering</jtitle><date>2022-12</date><risdate>2022</risdate><volume>46</volume><issue>6</issue><spage>1735</spage><epage>1752</epage><pages>1735-1752</pages><issn>0309-524X</issn><eissn>2048-402X</eissn><abstract>This paper presents the modeling of wind energy systems using MATLAB Simulink. The model considers the MPPT (Maximum Power Point Tracking) technique to track the maximum power that could be extracted from the wind energy. The main contribution of our work lines in the choice of the Wind Energy Conversion System (WECS) components and the suitable MPPT technique. An innovating maximum MPPT technique is proposed. This technique combines the advantages of an ameliorated Perturb &amp; Observe (P&amp;O) control algorithm and the speed of Optimal Relationship Based (ORB) control algorithm to allow the MPPT controller output (duty cycle) adjusts the voltage input of a Buck-Boost converter to track the maximum power point. It searches for the system optimum relationship for maximum power point tracking and then controls the system based on this relationship. The main advantage of the proposed technique is that it does not require an anemometer or preknowledge of a system, but has an accurate and fast response to wind speed fluctuations. The MATLAB/Simulink simulation results show that the developed model components choice complies with cost and reliability constraints and confirm the validity and performance of the proposed control algorithm.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1177/0309524X221103278</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-4930-4959</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0309-524X
ispartof Wind engineering, 2022-12, Vol.46 (6), p.1735-1752
issn 0309-524X
2048-402X
language eng
recordid cdi_crossref_primary_10_1177_0309524X221103278
source SAGE Complete A-Z List
title New approach of maximum power point tracking for wind energy conversion system
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T22%3A07%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-sage_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=New%20approach%20of%20maximum%20power%20point%20tracking%20for%20wind%20energy%20conversion%20system&rft.jtitle=Wind%20engineering&rft.au=Tounsi,%20Souhir&rft.date=2022-12&rft.volume=46&rft.issue=6&rft.spage=1735&rft.epage=1752&rft.pages=1735-1752&rft.issn=0309-524X&rft.eissn=2048-402X&rft_id=info:doi/10.1177/0309524X221103278&rft_dat=%3Csage_cross%3E10.1177_0309524X221103278%3C/sage_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_sage_id=10.1177_0309524X221103278&rfr_iscdi=true