A Fuzzy-PI control to extract an optimal power from wind turbine
We model the wind energy conversion system (WECS) based on the PMSG. We present the vector control of permanent magnet synchronous generator (PMSG). A speed control strategy is developed to extract maximal wind power. A Fuzzy-PI speed controller is proposed to overcome the WECS nonlinearity problem....
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| Veröffentlicht in: | Energy conversion and management 2013-01, Vol.65, p.688-696 |
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| container_title | Energy conversion and management |
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| creator | Aissaoui, Abdel Ghani Tahour, Ahmed Essounbouli, Najib Nollet, Frédéric Abid, Mohamed Chergui, Moulay Idriss |
| description | We model the wind energy conversion system (WECS) based on the PMSG. We present the vector control of permanent magnet synchronous generator (PMSG). A speed control strategy is developed to extract maximal wind power. A Fuzzy-PI speed controller is proposed to overcome the WECS nonlinearity problem. Simulation results show the effectiveness of the proposed control strategy.
In this article we develop the overall model of the wind energy conversion systems (WECSs) structure based on the permanent magnet synchronous generator (PMSG), and propose a study of the electrical parts (permanent magnet synchronous machine and static converter). Our study is developed on a wind conversion system in order to produce optimum power (to extract the maximal wind power). The speed control of all machine-turbine at optimal values can provide a valuable service and useful for the management and generation of power network to which the turbine is connected. The main drawback is that the WECS is highly nonlinear, and thus a nonlinear control strategy is required. An adaptive Fuzzy-PI speed controller is proposed to overcome this problem. Simulation results are given to show the effectiveness of this control strategy. Conclusions are summarized in the last section. |
| doi_str_mv | 10.1016/j.enconman.2011.11.034 |
| format | Article |
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In this article we develop the overall model of the wind energy conversion systems (WECSs) structure based on the permanent magnet synchronous generator (PMSG), and propose a study of the electrical parts (permanent magnet synchronous machine and static converter). Our study is developed on a wind conversion system in order to produce optimum power (to extract the maximal wind power). The speed control of all machine-turbine at optimal values can provide a valuable service and useful for the management and generation of power network to which the turbine is connected. The main drawback is that the WECS is highly nonlinear, and thus a nonlinear control strategy is required. An adaptive Fuzzy-PI speed controller is proposed to overcome this problem. Simulation results are given to show the effectiveness of this control strategy. Conclusions are summarized in the last section.</description><identifier>ISSN: 0196-8904</identifier><identifier>EISSN: 1879-2227</identifier><identifier>DOI: 10.1016/j.enconman.2011.11.034</identifier><identifier>CODEN: ECMADL</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Applied sciences ; Conversion ; Electric power generation ; Energy ; Exact sciences and technology ; Fuzzy logic ; Management ; Natural energy ; Nonlinearity ; Optimal power ; Optimization ; Permanent magnets ; PMSG ; Strategy ; Wind energy ; Wind turbine ; Wind turbines</subject><ispartof>Energy conversion and management, 2013-01, Vol.65, p.688-696</ispartof><rights>2012 Elsevier Ltd</rights><rights>2014 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-b2e0269def8247511c5643baed95e8593498682f6bccb5aaced3f292c7f86d143</citedby><cites>FETCH-LOGICAL-c408t-b2e0269def8247511c5643baed95e8593498682f6bccb5aaced3f292c7f86d143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0196890412001380$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>309,310,314,776,780,785,786,3536,4035,4036,23910,23911,25119,27903,27904,65309</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26701085$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Aissaoui, Abdel Ghani</creatorcontrib><creatorcontrib>Tahour, Ahmed</creatorcontrib><creatorcontrib>Essounbouli, Najib</creatorcontrib><creatorcontrib>Nollet, Frédéric</creatorcontrib><creatorcontrib>Abid, Mohamed</creatorcontrib><creatorcontrib>Chergui, Moulay Idriss</creatorcontrib><title>A Fuzzy-PI control to extract an optimal power from wind turbine</title><title>Energy conversion and management</title><description>We model the wind energy conversion system (WECS) based on the PMSG. We present the vector control of permanent magnet synchronous generator (PMSG). A speed control strategy is developed to extract maximal wind power. A Fuzzy-PI speed controller is proposed to overcome the WECS nonlinearity problem. Simulation results show the effectiveness of the proposed control strategy.
In this article we develop the overall model of the wind energy conversion systems (WECSs) structure based on the permanent magnet synchronous generator (PMSG), and propose a study of the electrical parts (permanent magnet synchronous machine and static converter). Our study is developed on a wind conversion system in order to produce optimum power (to extract the maximal wind power). The speed control of all machine-turbine at optimal values can provide a valuable service and useful for the management and generation of power network to which the turbine is connected. The main drawback is that the WECS is highly nonlinear, and thus a nonlinear control strategy is required. An adaptive Fuzzy-PI speed controller is proposed to overcome this problem. Simulation results are given to show the effectiveness of this control strategy. Conclusions are summarized in the last section.</description><subject>Applied sciences</subject><subject>Conversion</subject><subject>Electric power generation</subject><subject>Energy</subject><subject>Exact sciences and technology</subject><subject>Fuzzy logic</subject><subject>Management</subject><subject>Natural energy</subject><subject>Nonlinearity</subject><subject>Optimal power</subject><subject>Optimization</subject><subject>Permanent magnets</subject><subject>PMSG</subject><subject>Strategy</subject><subject>Wind energy</subject><subject>Wind turbine</subject><subject>Wind turbines</subject><issn>0196-8904</issn><issn>1879-2227</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqFkMtKBDEQRYMoOD5-QbIR3PRYSafTyU4RXyDoQtchna6GDD2dMcn4-nozjLoVCmpz6l7qEHLCYM6AyfPFHCcXpqWd5hwYm5eBWuyQGVOtrjjn7S6ZAdOyUhrEPjlIaQEAdQNyRi4u6c366-uzerqnJSTHMNIcKH7kaF2mdqJhlf3SjnQV3jHSIYYlffdTT_M6dn7CI7I32DHh8c8-JC83189Xd9XD4-391eVD5QSoXHUcgUvd46C4aBvGXCNF3VnsdYOq0bXQSio-yM65rrHWYV8PXHPXDkr2TNSH5Gybu4rhdY0pm6VPDsfRThjWybC2BtBCCf4_WsqE1CA3qNyiLoaUIg5mFcu38dMwMBu7ZmF-7ZqNXVOm2C2Hpz8dNjk7DtFOzqe_ay5bYKCawl1sOSxu3jxGk5wvidj7iC6bPvj_qr4ByJKSYQ</recordid><startdate>201301</startdate><enddate>201301</enddate><creator>Aissaoui, Abdel Ghani</creator><creator>Tahour, Ahmed</creator><creator>Essounbouli, Najib</creator><creator>Nollet, Frédéric</creator><creator>Abid, Mohamed</creator><creator>Chergui, Moulay Idriss</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope><scope>7SU</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>201301</creationdate><title>A Fuzzy-PI control to extract an optimal power from wind turbine</title><author>Aissaoui, Abdel Ghani ; Tahour, Ahmed ; Essounbouli, Najib ; Nollet, Frédéric ; Abid, Mohamed ; Chergui, Moulay Idriss</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-b2e0269def8247511c5643baed95e8593498682f6bccb5aaced3f292c7f86d143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Applied sciences</topic><topic>Conversion</topic><topic>Electric power generation</topic><topic>Energy</topic><topic>Exact sciences and technology</topic><topic>Fuzzy logic</topic><topic>Management</topic><topic>Natural energy</topic><topic>Nonlinearity</topic><topic>Optimal power</topic><topic>Optimization</topic><topic>Permanent magnets</topic><topic>PMSG</topic><topic>Strategy</topic><topic>Wind energy</topic><topic>Wind turbine</topic><topic>Wind turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aissaoui, Abdel Ghani</creatorcontrib><creatorcontrib>Tahour, Ahmed</creatorcontrib><creatorcontrib>Essounbouli, Najib</creatorcontrib><creatorcontrib>Nollet, Frédéric</creatorcontrib><creatorcontrib>Abid, Mohamed</creatorcontrib><creatorcontrib>Chergui, Moulay Idriss</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environmental Engineering Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Energy conversion and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aissaoui, Abdel Ghani</au><au>Tahour, Ahmed</au><au>Essounbouli, Najib</au><au>Nollet, Frédéric</au><au>Abid, Mohamed</au><au>Chergui, Moulay Idriss</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Fuzzy-PI control to extract an optimal power from wind turbine</atitle><jtitle>Energy conversion and management</jtitle><date>2013-01</date><risdate>2013</risdate><volume>65</volume><spage>688</spage><epage>696</epage><pages>688-696</pages><issn>0196-8904</issn><eissn>1879-2227</eissn><coden>ECMADL</coden><abstract>We model the wind energy conversion system (WECS) based on the PMSG. We present the vector control of permanent magnet synchronous generator (PMSG). A speed control strategy is developed to extract maximal wind power. A Fuzzy-PI speed controller is proposed to overcome the WECS nonlinearity problem. Simulation results show the effectiveness of the proposed control strategy.
In this article we develop the overall model of the wind energy conversion systems (WECSs) structure based on the permanent magnet synchronous generator (PMSG), and propose a study of the electrical parts (permanent magnet synchronous machine and static converter). Our study is developed on a wind conversion system in order to produce optimum power (to extract the maximal wind power). The speed control of all machine-turbine at optimal values can provide a valuable service and useful for the management and generation of power network to which the turbine is connected. The main drawback is that the WECS is highly nonlinear, and thus a nonlinear control strategy is required. An adaptive Fuzzy-PI speed controller is proposed to overcome this problem. Simulation results are given to show the effectiveness of this control strategy. Conclusions are summarized in the last section.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.enconman.2011.11.034</doi><tpages>9</tpages></addata></record> |
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| source | Elsevier ScienceDirect Journals |
| subjects | Applied sciences Conversion Electric power generation Energy Exact sciences and technology Fuzzy logic Management Natural energy Nonlinearity Optimal power Optimization Permanent magnets PMSG Strategy Wind energy Wind turbine Wind turbines |
| title | A Fuzzy-PI control to extract an optimal power from wind turbine |
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