Study of wind speed-active power model for wind farm based on measured data
Accurate model of the wind farm is the basis for the analysis of wind power integrating grid. Firstly, the comparison is made between the standard power characteristic curve and the measured scatter plot of wind speed-active power for DFIG. The wind speed-active power model is proposed based on the...
Gespeichert in:
| Veröffentlicht in: | Dianli Xitong Baohu yu Kongzhi 2014-01, Vol.42 (2), p.23-27 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | chi |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 27 |
|---|---|
| container_issue | 2 |
| container_start_page | 23 |
| container_title | Dianli Xitong Baohu yu Kongzhi |
| container_volume | 42 |
| creator | Wang, Qian Pan, Xian-Xian Chen, Ying Yang, Fen-Yan Lin, Li |
| description | Accurate model of the wind farm is the basis for the analysis of wind power integrating grid. Firstly, the comparison is made between the standard power characteristic curve and the measured scatter plot of wind speed-active power for DFIG. The wind speed-active power model is proposed based on the measured data. For the wind speed differences of wind turbines in large wind farm caused by complex terrain and the crew irregular arrangement, K-means clustering algorithm is used for the equivalent wind speed model of the whole wind farm. Then the wind speed-active power model of wind farm based on measured data is proposed. Taking an actual wind farm as example, K-means clustering algorithm is used to the clusters division. Result shows that the division by wind speed is different from that by location of wind turbine units. Finally, to verify the effectiveness of the new wind speed-active power model, the error comparative analysis is made between the new model and the traditional model. Result shows that the a |
| format | Article |
| fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_1671552184</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1512327453</sourcerecordid><originalsourceid>FETCH-LOGICAL-p136t-3711d410190a29adf155b3067ba25073293f59617e75366e35c99ea6beb987d23</originalsourceid><addsrcrecordid>eNqFjz1rwzAURTW00JDmP2jsYtDTsyRrLKFfNNCh7RyerCcw2JFr2Q399zWke6d7h8Ph3iuxAevqCmswN2JXSheUQjDGNn4jXt_nJf7InOS5O0VZRuZYUTt33yzHfOZJDjlyL1OeLkSiaZCBCkeZT3JgKsu09kgz3YrrRH3h3V9uxefjw8f-uTq8Pb3s7w_VCGjnCh1ArEGBV6Q9xbRuCaisC6SNcqg9JuMtOHYGrWU0rfdMNnDwjYsat-Lu4h2n_LVwmY9DV1ruezpxXspxvbsqNTT1_6gBjdrVBvEX3BNXWw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1512327453</pqid></control><display><type>article</type><title>Study of wind speed-active power model for wind farm based on measured data</title><source>DOAJ Directory of Open Access Journals</source><creator>Wang, Qian ; Pan, Xian-Xian ; Chen, Ying ; Yang, Fen-Yan ; Lin, Li</creator><creatorcontrib>Wang, Qian ; Pan, Xian-Xian ; Chen, Ying ; Yang, Fen-Yan ; Lin, Li</creatorcontrib><description>Accurate model of the wind farm is the basis for the analysis of wind power integrating grid. Firstly, the comparison is made between the standard power characteristic curve and the measured scatter plot of wind speed-active power for DFIG. The wind speed-active power model is proposed based on the measured data. For the wind speed differences of wind turbines in large wind farm caused by complex terrain and the crew irregular arrangement, K-means clustering algorithm is used for the equivalent wind speed model of the whole wind farm. Then the wind speed-active power model of wind farm based on measured data is proposed. Taking an actual wind farm as example, K-means clustering algorithm is used to the clusters division. Result shows that the division by wind speed is different from that by location of wind turbine units. Finally, to verify the effectiveness of the new wind speed-active power model, the error comparative analysis is made between the new model and the traditional model. Result shows that the a</description><identifier>ISSN: 1674-3415</identifier><language>chi</language><subject>Algorithms ; Clustering ; Division ; Equivalence ; Wind power ; Wind power generation ; Wind speed ; Wind turbines</subject><ispartof>Dianli Xitong Baohu yu Kongzhi, 2014-01, Vol.42 (2), p.23-27</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Wang, Qian</creatorcontrib><creatorcontrib>Pan, Xian-Xian</creatorcontrib><creatorcontrib>Chen, Ying</creatorcontrib><creatorcontrib>Yang, Fen-Yan</creatorcontrib><creatorcontrib>Lin, Li</creatorcontrib><title>Study of wind speed-active power model for wind farm based on measured data</title><title>Dianli Xitong Baohu yu Kongzhi</title><description>Accurate model of the wind farm is the basis for the analysis of wind power integrating grid. Firstly, the comparison is made between the standard power characteristic curve and the measured scatter plot of wind speed-active power for DFIG. The wind speed-active power model is proposed based on the measured data. For the wind speed differences of wind turbines in large wind farm caused by complex terrain and the crew irregular arrangement, K-means clustering algorithm is used for the equivalent wind speed model of the whole wind farm. Then the wind speed-active power model of wind farm based on measured data is proposed. Taking an actual wind farm as example, K-means clustering algorithm is used to the clusters division. Result shows that the division by wind speed is different from that by location of wind turbine units. Finally, to verify the effectiveness of the new wind speed-active power model, the error comparative analysis is made between the new model and the traditional model. Result shows that the a</description><subject>Algorithms</subject><subject>Clustering</subject><subject>Division</subject><subject>Equivalence</subject><subject>Wind power</subject><subject>Wind power generation</subject><subject>Wind speed</subject><subject>Wind turbines</subject><issn>1674-3415</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFjz1rwzAURTW00JDmP2jsYtDTsyRrLKFfNNCh7RyerCcw2JFr2Q399zWke6d7h8Ph3iuxAevqCmswN2JXSheUQjDGNn4jXt_nJf7InOS5O0VZRuZYUTt33yzHfOZJDjlyL1OeLkSiaZCBCkeZT3JgKsu09kgz3YrrRH3h3V9uxefjw8f-uTq8Pb3s7w_VCGjnCh1ArEGBV6Q9xbRuCaisC6SNcqg9JuMtOHYGrWU0rfdMNnDwjYsat-Lu4h2n_LVwmY9DV1ruezpxXspxvbsqNTT1_6gBjdrVBvEX3BNXWw</recordid><startdate>20140116</startdate><enddate>20140116</enddate><creator>Wang, Qian</creator><creator>Pan, Xian-Xian</creator><creator>Chen, Ying</creator><creator>Yang, Fen-Yan</creator><creator>Lin, Li</creator><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope><scope>7SP</scope><scope>7SU</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>20140116</creationdate><title>Study of wind speed-active power model for wind farm based on measured data</title><author>Wang, Qian ; Pan, Xian-Xian ; Chen, Ying ; Yang, Fen-Yan ; Lin, Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p136t-3711d410190a29adf155b3067ba25073293f59617e75366e35c99ea6beb987d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi</language><creationdate>2014</creationdate><topic>Algorithms</topic><topic>Clustering</topic><topic>Division</topic><topic>Equivalence</topic><topic>Wind power</topic><topic>Wind power generation</topic><topic>Wind speed</topic><topic>Wind turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Qian</creatorcontrib><creatorcontrib>Pan, Xian-Xian</creatorcontrib><creatorcontrib>Chen, Ying</creatorcontrib><creatorcontrib>Yang, Fen-Yan</creatorcontrib><creatorcontrib>Lin, Li</creatorcontrib><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Electronics & Communications Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Dianli Xitong Baohu yu Kongzhi</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Qian</au><au>Pan, Xian-Xian</au><au>Chen, Ying</au><au>Yang, Fen-Yan</au><au>Lin, Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Study of wind speed-active power model for wind farm based on measured data</atitle><jtitle>Dianli Xitong Baohu yu Kongzhi</jtitle><date>2014-01-16</date><risdate>2014</risdate><volume>42</volume><issue>2</issue><spage>23</spage><epage>27</epage><pages>23-27</pages><issn>1674-3415</issn><abstract>Accurate model of the wind farm is the basis for the analysis of wind power integrating grid. Firstly, the comparison is made between the standard power characteristic curve and the measured scatter plot of wind speed-active power for DFIG. The wind speed-active power model is proposed based on the measured data. For the wind speed differences of wind turbines in large wind farm caused by complex terrain and the crew irregular arrangement, K-means clustering algorithm is used for the equivalent wind speed model of the whole wind farm. Then the wind speed-active power model of wind farm based on measured data is proposed. Taking an actual wind farm as example, K-means clustering algorithm is used to the clusters division. Result shows that the division by wind speed is different from that by location of wind turbine units. Finally, to verify the effectiveness of the new wind speed-active power model, the error comparative analysis is made between the new model and the traditional model. Result shows that the a</abstract><tpages>5</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1674-3415 |
| ispartof | Dianli Xitong Baohu yu Kongzhi, 2014-01, Vol.42 (2), p.23-27 |
| issn | 1674-3415 |
| language | chi |
| recordid | cdi_proquest_miscellaneous_1671552184 |
| source | DOAJ Directory of Open Access Journals |
| subjects | Algorithms Clustering Division Equivalence Wind power Wind power generation Wind speed Wind turbines |
| title | Study of wind speed-active power model for wind farm based on measured data |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T14%3A06%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Study%20of%20wind%20speed-active%20power%20model%20for%20wind%20farm%20based%20on%20measured%20data&rft.jtitle=Dianli%20Xitong%20Baohu%20yu%20Kongzhi&rft.au=Wang,%20Qian&rft.date=2014-01-16&rft.volume=42&rft.issue=2&rft.spage=23&rft.epage=27&rft.pages=23-27&rft.issn=1674-3415&rft_id=info:doi/&rft_dat=%3Cproquest%3E1512327453%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1512327453&rft_id=info:pmid/&rfr_iscdi=true |