MOEAD based transmission network planning with wind power generation
This paper applies the planning model of transmission network with wind power generation considering the economy and security of power systems, and optimizes the model based on Multiobjective Evolutionary Algorithm Based on Decomposition (MOEAD) method. In the process of optimization, a topology rep...
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Veröffentlicht in: | IOP conference series. Earth and environmental science 2018-05, Vol.153 (2), p.22030 |
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description | This paper applies the planning model of transmission network with wind power generation considering the economy and security of power systems, and optimizes the model based on Multiobjective Evolutionary Algorithm Based on Decomposition (MOEAD) method. In the process of optimization, a topology repair strategy is used to improve the computational efficiency of solutions. Through testing on the 18-node transmission network system with wind power generation, the correctness of the transmission network planning model with wind power generation is verified, and the diversity and effectiveness of the MOEAD optimization method for solving the planning model are also discussed. |
doi_str_mv | 10.1088/1755-1315/153/2/022030 |
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In the process of optimization, a topology repair strategy is used to improve the computational efficiency of solutions. Through testing on the 18-node transmission network system with wind power generation, the correctness of the transmission network planning model with wind power generation is verified, and the diversity and effectiveness of the MOEAD optimization method for solving the planning model are also discussed.</description><identifier>ISSN: 1755-1307</identifier><identifier>EISSN: 1755-1315</identifier><identifier>DOI: 10.1088/1755-1315/153/2/022030</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Electric power generation ; Evolutionary algorithms ; Topology ; Topology optimization ; Wind power ; Wind power generation</subject><ispartof>IOP conference series. Earth and environmental science, 2018-05, Vol.153 (2), p.22030</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2018. 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Through testing on the 18-node transmission network system with wind power generation, the correctness of the transmission network planning model with wind power generation is verified, and the diversity and effectiveness of the MOEAD optimization method for solving the planning model are also discussed.</description><subject>Electric power generation</subject><subject>Evolutionary algorithms</subject><subject>Topology</subject><subject>Topology optimization</subject><subject>Wind power</subject><subject>Wind power generation</subject><issn>1755-1307</issn><issn>1755-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkE1Lw0AQhhdRsFb_ggS8eInZ702OpU1VqPSgnpdNMltT203cTSn-e1MiFUHwMjPwfgw8CF0TfEdwmiZECRETRkRCBEtoginFDJ-g0VE4Pd5YnaOLENYYS8VZNkKzp2U-mUWFCVBFnTcubOsQ6sZFDrp949-jdmOcq90q2tfdWz9cFbXNHny0AgfedL33Ep1Zswlw9b3H6HWev0wf4sXy_nE6WcQll7iLq9SWFJRRssiU5BagYKTgRQGstDKjRKYZSCxwxSzhQHhKSWp7VRnITMHZGN0Mva1vPnYQOr1udt71LzUVIhNcSJr2Ljm4St-E4MHq1tdb4z81wfpATB9g6AMY3RPTVA_E-iAdgnXT_jT_G7r9I5Tnz79suq0s-wLBLXoT</recordid><startdate>20180501</startdate><enddate>20180501</enddate><creator>Wang, Xiaoming</creator><creator>Gou, Xudan</creator><creator>Chen, Hanlin</creator><creator>Zhang, Xuexia</creator><creator>Sun, Bo</creator><creator>Yu, Zixuan</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope></search><sort><creationdate>20180501</creationdate><title>MOEAD based transmission network planning with wind power generation</title><author>Wang, Xiaoming ; Gou, Xudan ; Chen, Hanlin ; Zhang, Xuexia ; Sun, Bo ; Yu, Zixuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c460t-d8fc2e7a76b9764feeb31b4bbe3cf6921689e6050d3f14e148218fbe37ae9ab43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Electric power generation</topic><topic>Evolutionary algorithms</topic><topic>Topology</topic><topic>Topology optimization</topic><topic>Wind power</topic><topic>Wind power generation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Xiaoming</creatorcontrib><creatorcontrib>Gou, Xudan</creatorcontrib><creatorcontrib>Chen, Hanlin</creatorcontrib><creatorcontrib>Zhang, Xuexia</creatorcontrib><creatorcontrib>Sun, Bo</creatorcontrib><creatorcontrib>Yu, Zixuan</creatorcontrib><collection>Institute of Physics Open Access Journal Titles</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><jtitle>IOP conference series. Earth and environmental science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Xiaoming</au><au>Gou, Xudan</au><au>Chen, Hanlin</au><au>Zhang, Xuexia</au><au>Sun, Bo</au><au>Yu, Zixuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MOEAD based transmission network planning with wind power generation</atitle><jtitle>IOP conference series. Earth and environmental science</jtitle><addtitle>IOP Conf. Ser.: Earth Environ. Sci</addtitle><date>2018-05-01</date><risdate>2018</risdate><volume>153</volume><issue>2</issue><spage>22030</spage><pages>22030-</pages><issn>1755-1307</issn><eissn>1755-1315</eissn><abstract>This paper applies the planning model of transmission network with wind power generation considering the economy and security of power systems, and optimizes the model based on Multiobjective Evolutionary Algorithm Based on Decomposition (MOEAD) method. In the process of optimization, a topology repair strategy is used to improve the computational efficiency of solutions. Through testing on the 18-node transmission network system with wind power generation, the correctness of the transmission network planning model with wind power generation is verified, and the diversity and effectiveness of the MOEAD optimization method for solving the planning model are also discussed.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1755-1315/153/2/022030</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Electric power generation Evolutionary algorithms Topology Topology optimization Wind power Wind power generation |
title | MOEAD based transmission network planning with wind power generation |
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