Fuzzy P & O Maximum Power Point Tracking Algorithm for a Stand-Alone Photovoltaic System Feeding Hybrid Loads
The photovoltaic (PV) generator exhibits a nonlinear current-voltage (I-V) characteristic that its maximum power point (MPP) varies with solar insolation. In this paper, a maximum power point tracking (MPPT) method using fuzzy logic control (FLC) is presented. This method is based on the concept of...
Gespeichert in:
| Veröffentlicht in: | Smart grid and renewable energy 2014-02, Vol.5 (2), p.19-30 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 30 |
|---|---|
| container_issue | 2 |
| container_start_page | 19 |
| container_title | Smart grid and renewable energy |
| container_volume | 5 |
| creator | Sadek, Sahar M. Fahmy, Faten H. Nafeh, Abd El-Shafy A. El-Magd, Mohamed Abu |
| description | The photovoltaic (PV) generator exhibits a nonlinear current-voltage (I-V) characteristic that its maximum power point (MPP) varies with solar insolation. In this paper, a maximum power point tracking (MPPT) method using fuzzy logic control (FLC) is presented. This method is based on the concept of perturbation and observation (P & O) algorithm to track the MPP of a stand-alone PV system. The controller is used to maximize the power generated by the PV array and the simulation of the system is implemented in MATLAB. Simulation results are compared with those obtained by the conventional P & O controller. Results show that the FLC gives better and more reliable control for the stand-alone PV system feeding hybrid loads. |
| doi_str_mv | 10.4236/sgre.2014.52003 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1524406735</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1524406735</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1195-d1193cb113f6fbf71837b0f67836adae75c92b537c6abab870ccd2808afbdb683</originalsourceid><addsrcrecordid>eNo9kM9PwjAcxRujiQQ5e-3JeBn017pxJETEBAMJmHhb2q6F6rZiu6njr3cT4_fwvu_w3jt8ALjFaMwI5ZOw93pMEGbjmCBEL8CA4BhHLGXs8t_j12swCuENdcd4TAgfgHLRnE4t3MA7uIbP4tuWTQk37kv7Tm1Vw50X6t1Wezgr9s7b-lBC4zwUcFuLKo9mhas03Bxc7T5dUQur4LYNtS7hQuu87y1b6W0OV07k4QZcGVEEPfr7Q_CyeNjNl9Fq_fg0n60ihfE0jvJOqZIYU8ONNAlOaSKR4UlKuciFTmI1JTKmieJCCpkmSKmcpCgVRuaSp3QI7s-7R-8-Gh3qrLRB6aIQlXZNyHBMGEM8oXEXnZyjyrsQvDbZ0dtS-DbDKOvZZj3brGeb_bKlP-MAbUY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1524406735</pqid></control><display><type>article</type><title>Fuzzy P & O Maximum Power Point Tracking Algorithm for a Stand-Alone Photovoltaic System Feeding Hybrid Loads</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Sadek, Sahar M. ; Fahmy, Faten H. ; Nafeh, Abd El-Shafy A. ; El-Magd, Mohamed Abu</creator><creatorcontrib>Sadek, Sahar M. ; Fahmy, Faten H. ; Nafeh, Abd El-Shafy A. ; El-Magd, Mohamed Abu</creatorcontrib><description>The photovoltaic (PV) generator exhibits a nonlinear current-voltage (I-V) characteristic that its maximum power point (MPP) varies with solar insolation. In this paper, a maximum power point tracking (MPPT) method using fuzzy logic control (FLC) is presented. This method is based on the concept of perturbation and observation (P & O) algorithm to track the MPP of a stand-alone PV system. The controller is used to maximize the power generated by the PV array and the simulation of the system is implemented in MATLAB. Simulation results are compared with those obtained by the conventional P & O controller. Results show that the FLC gives better and more reliable control for the stand-alone PV system feeding hybrid loads.</description><identifier>ISSN: 2151-481X</identifier><identifier>EISSN: 2151-4844</identifier><identifier>DOI: 10.4236/sgre.2014.52003</identifier><language>eng</language><ispartof>Smart grid and renewable energy, 2014-02, Vol.5 (2), p.19-30</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1195-d1193cb113f6fbf71837b0f67836adae75c92b537c6abab870ccd2808afbdb683</citedby><cites>FETCH-LOGICAL-c1195-d1193cb113f6fbf71837b0f67836adae75c92b537c6abab870ccd2808afbdb683</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Sadek, Sahar M.</creatorcontrib><creatorcontrib>Fahmy, Faten H.</creatorcontrib><creatorcontrib>Nafeh, Abd El-Shafy A.</creatorcontrib><creatorcontrib>El-Magd, Mohamed Abu</creatorcontrib><title>Fuzzy P & O Maximum Power Point Tracking Algorithm for a Stand-Alone Photovoltaic System Feeding Hybrid Loads</title><title>Smart grid and renewable energy</title><description>The photovoltaic (PV) generator exhibits a nonlinear current-voltage (I-V) characteristic that its maximum power point (MPP) varies with solar insolation. In this paper, a maximum power point tracking (MPPT) method using fuzzy logic control (FLC) is presented. This method is based on the concept of perturbation and observation (P & O) algorithm to track the MPP of a stand-alone PV system. The controller is used to maximize the power generated by the PV array and the simulation of the system is implemented in MATLAB. Simulation results are compared with those obtained by the conventional P & O controller. Results show that the FLC gives better and more reliable control for the stand-alone PV system feeding hybrid loads.</description><issn>2151-481X</issn><issn>2151-4844</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNo9kM9PwjAcxRujiQQ5e-3JeBn017pxJETEBAMJmHhb2q6F6rZiu6njr3cT4_fwvu_w3jt8ALjFaMwI5ZOw93pMEGbjmCBEL8CA4BhHLGXs8t_j12swCuENdcd4TAgfgHLRnE4t3MA7uIbP4tuWTQk37kv7Tm1Vw50X6t1Wezgr9s7b-lBC4zwUcFuLKo9mhas03Bxc7T5dUQur4LYNtS7hQuu87y1b6W0OV07k4QZcGVEEPfr7Q_CyeNjNl9Fq_fg0n60ihfE0jvJOqZIYU8ONNAlOaSKR4UlKuciFTmI1JTKmieJCCpkmSKmcpCgVRuaSp3QI7s-7R-8-Gh3qrLRB6aIQlXZNyHBMGEM8oXEXnZyjyrsQvDbZ0dtS-DbDKOvZZj3brGeb_bKlP-MAbUY</recordid><startdate>20140201</startdate><enddate>20140201</enddate><creator>Sadek, Sahar M.</creator><creator>Fahmy, Faten H.</creator><creator>Nafeh, Abd El-Shafy A.</creator><creator>El-Magd, Mohamed Abu</creator><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope></search><sort><creationdate>20140201</creationdate><title>Fuzzy P & O Maximum Power Point Tracking Algorithm for a Stand-Alone Photovoltaic System Feeding Hybrid Loads</title><author>Sadek, Sahar M. ; Fahmy, Faten H. ; Nafeh, Abd El-Shafy A. ; El-Magd, Mohamed Abu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1195-d1193cb113f6fbf71837b0f67836adae75c92b537c6abab870ccd2808afbdb683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Sadek, Sahar M.</creatorcontrib><creatorcontrib>Fahmy, Faten H.</creatorcontrib><creatorcontrib>Nafeh, Abd El-Shafy A.</creatorcontrib><creatorcontrib>El-Magd, Mohamed Abu</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Smart grid and renewable energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sadek, Sahar M.</au><au>Fahmy, Faten H.</au><au>Nafeh, Abd El-Shafy A.</au><au>El-Magd, Mohamed Abu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fuzzy P & O Maximum Power Point Tracking Algorithm for a Stand-Alone Photovoltaic System Feeding Hybrid Loads</atitle><jtitle>Smart grid and renewable energy</jtitle><date>2014-02-01</date><risdate>2014</risdate><volume>5</volume><issue>2</issue><spage>19</spage><epage>30</epage><pages>19-30</pages><issn>2151-481X</issn><eissn>2151-4844</eissn><abstract>The photovoltaic (PV) generator exhibits a nonlinear current-voltage (I-V) characteristic that its maximum power point (MPP) varies with solar insolation. In this paper, a maximum power point tracking (MPPT) method using fuzzy logic control (FLC) is presented. This method is based on the concept of perturbation and observation (P & O) algorithm to track the MPP of a stand-alone PV system. The controller is used to maximize the power generated by the PV array and the simulation of the system is implemented in MATLAB. Simulation results are compared with those obtained by the conventional P & O controller. Results show that the FLC gives better and more reliable control for the stand-alone PV system feeding hybrid loads.</abstract><doi>10.4236/sgre.2014.52003</doi><tpages>12</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2151-481X |
| ispartof | Smart grid and renewable energy, 2014-02, Vol.5 (2), p.19-30 |
| issn | 2151-481X 2151-4844 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1524406735 |
| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| title | Fuzzy P & O Maximum Power Point Tracking Algorithm for a Stand-Alone Photovoltaic System Feeding Hybrid Loads |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T02%3A39%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Fuzzy%20P%20&%20O%20Maximum%20Power%20Point%20Tracking%20Algorithm%20for%20a%20Stand-Alone%20Photovoltaic%20System%20Feeding%20Hybrid%20Loads&rft.jtitle=Smart%20grid%20and%20renewable%20energy&rft.au=Sadek,%20Sahar%20M.&rft.date=2014-02-01&rft.volume=5&rft.issue=2&rft.spage=19&rft.epage=30&rft.pages=19-30&rft.issn=2151-481X&rft.eissn=2151-4844&rft_id=info:doi/10.4236/sgre.2014.52003&rft_dat=%3Cproquest_cross%3E1524406735%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1524406735&rft_id=info:pmid/&rfr_iscdi=true |