A genetic algorithm-based procedure to optimize system topology against parallel flows
Parallel (or loop) flows consist in the undesired circulation of power flows through certain interconnection corridors. Remedial actions available to transmission system operators or system planners include installation and operation of phase-shifting transformers and of dc transmission systems. Mor...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on power systems 2006-02, Vol.21 (1), p.333-340 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 340 |
|---|---|
| container_issue | 1 |
| container_start_page | 333 |
| container_title | IEEE transactions on power systems |
| container_volume | 21 |
| creator | Granelli, G. Montagna, M. Zanellini, F. Bresesti, P. Vailati, R. |
| description | Parallel (or loop) flows consist in the undesired circulation of power flows through certain interconnection corridors. Remedial actions available to transmission system operators or system planners include installation and operation of phase-shifting transformers and of dc transmission systems. Moreover, the invaluable experience of transmission system operators has shown that the network can be operated so as to reduce parallel flows also by properly selecting the topology of the system. In the present paper, a genetic algorithm-based procedure is designed for the topological optimization of the network against parallel flows. The control variables considered are the status of substation breakers and the location (and angle) of phase-shifting transformers. The problem is formulated as a multiobjective optimization. The main objective is that of reducing the power transfer distribution factor of an assigned transaction with reference to a set of lines; N and N-1 security levels are accounted for by means of subsidiary objective functions. The procedure is tested on a small CIGRE sample system and on a 4500-bus network representative of the European electric system (UCTE). |
| doi_str_mv | 10.1109/TPWRS.2005.860921 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_865888958</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1583730</ieee_id><sourcerecordid>28027849</sourcerecordid><originalsourceid>FETCH-LOGICAL-c451t-e8c848669b02696aa38e5b49a81cf82ebac7cf7d70e9348f03e9fc54f4e582be3</originalsourceid><addsrcrecordid>eNp9kU9r3DAQxUVooNs0H6D0InoovXg7siV5dAwhTQKBlPxpj0LWjrcO8sqVvJTNp4-SDRR66Glg5vceM_MY-yBgKQSYr3fff97cLmsAtUQNphYHbCGUwgp0a96wBSCqCo2Ct-xdzg8AoMtgwX6c8DVtaB48d2Ed0zD_GqvOZVrxKUVPq20iPkcep3kYh0fieZdnGktriiGud9yt3bDJM59cciFQ4H2If_J7dti7kOn4tR6x-29nd6cX1dX1-eXpyVXlpRJzRehRotamg1ob7VyDpDppHArfY02d863v21ULZBqJPTRkeq9kL0lh3VFzxD7vfcuyv7eUZzsO2VMIbkNxm22NULcoTQG__BcUuhWNbISUBf30D_oQt2lTzrCoFWL5IhZI7CGfYs6JejulYXRpZwXY50TsSyL2ORG7T6RoPu41AxH95Ytb20DzBKZyiIo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>865888958</pqid></control><display><type>article</type><title>A genetic algorithm-based procedure to optimize system topology against parallel flows</title><source>IEEE Electronic Library (IEL)</source><creator>Granelli, G. ; Montagna, M. ; Zanellini, F. ; Bresesti, P. ; Vailati, R.</creator><creatorcontrib>Granelli, G. ; Montagna, M. ; Zanellini, F. ; Bresesti, P. ; Vailati, R.</creatorcontrib><description>Parallel (or loop) flows consist in the undesired circulation of power flows through certain interconnection corridors. Remedial actions available to transmission system operators or system planners include installation and operation of phase-shifting transformers and of dc transmission systems. Moreover, the invaluable experience of transmission system operators has shown that the network can be operated so as to reduce parallel flows also by properly selecting the topology of the system. In the present paper, a genetic algorithm-based procedure is designed for the topological optimization of the network against parallel flows. The control variables considered are the status of substation breakers and the location (and angle) of phase-shifting transformers. The problem is formulated as a multiobjective optimization. The main objective is that of reducing the power transfer distribution factor of an assigned transaction with reference to a set of lines; N and N-1 security levels are accounted for by means of subsidiary objective functions. The procedure is tested on a small CIGRE sample system and on a 4500-bus network representative of the European electric system (UCTE).</description><identifier>ISSN: 0885-8950</identifier><identifier>EISSN: 1558-0679</identifier><identifier>DOI: 10.1109/TPWRS.2005.860921</identifier><identifier>CODEN: ITPSEG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithm design and analysis ; Algorithms ; Design optimization ; Electric utilities ; Genetic algorithms ; Genetic algorithms (GAs) ; Genetics ; Load flow ; multiobjective optimization ; Network topology ; Networks ; Operators ; Optimization ; Parallel flow ; parallel flows ; Power system interconnection ; Power system security ; power transfer distribution factors (PTDFs) ; Studies ; Substations ; System testing ; Topology ; Transformers</subject><ispartof>IEEE transactions on power systems, 2006-02, Vol.21 (1), p.333-340</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2006</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c451t-e8c848669b02696aa38e5b49a81cf82ebac7cf7d70e9348f03e9fc54f4e582be3</citedby><cites>FETCH-LOGICAL-c451t-e8c848669b02696aa38e5b49a81cf82ebac7cf7d70e9348f03e9fc54f4e582be3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1583730$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1583730$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Granelli, G.</creatorcontrib><creatorcontrib>Montagna, M.</creatorcontrib><creatorcontrib>Zanellini, F.</creatorcontrib><creatorcontrib>Bresesti, P.</creatorcontrib><creatorcontrib>Vailati, R.</creatorcontrib><title>A genetic algorithm-based procedure to optimize system topology against parallel flows</title><title>IEEE transactions on power systems</title><addtitle>TPWRS</addtitle><description>Parallel (or loop) flows consist in the undesired circulation of power flows through certain interconnection corridors. Remedial actions available to transmission system operators or system planners include installation and operation of phase-shifting transformers and of dc transmission systems. Moreover, the invaluable experience of transmission system operators has shown that the network can be operated so as to reduce parallel flows also by properly selecting the topology of the system. In the present paper, a genetic algorithm-based procedure is designed for the topological optimization of the network against parallel flows. The control variables considered are the status of substation breakers and the location (and angle) of phase-shifting transformers. The problem is formulated as a multiobjective optimization. The main objective is that of reducing the power transfer distribution factor of an assigned transaction with reference to a set of lines; N and N-1 security levels are accounted for by means of subsidiary objective functions. The procedure is tested on a small CIGRE sample system and on a 4500-bus network representative of the European electric system (UCTE).</description><subject>Algorithm design and analysis</subject><subject>Algorithms</subject><subject>Design optimization</subject><subject>Electric utilities</subject><subject>Genetic algorithms</subject><subject>Genetic algorithms (GAs)</subject><subject>Genetics</subject><subject>Load flow</subject><subject>multiobjective optimization</subject><subject>Network topology</subject><subject>Networks</subject><subject>Operators</subject><subject>Optimization</subject><subject>Parallel flow</subject><subject>parallel flows</subject><subject>Power system interconnection</subject><subject>Power system security</subject><subject>power transfer distribution factors (PTDFs)</subject><subject>Studies</subject><subject>Substations</subject><subject>System testing</subject><subject>Topology</subject><subject>Transformers</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kU9r3DAQxUVooNs0H6D0InoovXg7siV5dAwhTQKBlPxpj0LWjrcO8sqVvJTNp4-SDRR66Glg5vceM_MY-yBgKQSYr3fff97cLmsAtUQNphYHbCGUwgp0a96wBSCqCo2Ct-xdzg8AoMtgwX6c8DVtaB48d2Ed0zD_GqvOZVrxKUVPq20iPkcep3kYh0fieZdnGktriiGud9yt3bDJM59cciFQ4H2If_J7dti7kOn4tR6x-29nd6cX1dX1-eXpyVXlpRJzRehRotamg1ob7VyDpDppHArfY02d863v21ULZBqJPTRkeq9kL0lh3VFzxD7vfcuyv7eUZzsO2VMIbkNxm22NULcoTQG__BcUuhWNbISUBf30D_oQt2lTzrCoFWL5IhZI7CGfYs6JejulYXRpZwXY50TsSyL2ORG7T6RoPu41AxH95Ytb20DzBKZyiIo</recordid><startdate>20060201</startdate><enddate>20060201</enddate><creator>Granelli, G.</creator><creator>Montagna, M.</creator><creator>Zanellini, F.</creator><creator>Bresesti, P.</creator><creator>Vailati, R.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>F28</scope></search><sort><creationdate>20060201</creationdate><title>A genetic algorithm-based procedure to optimize system topology against parallel flows</title><author>Granelli, G. ; Montagna, M. ; Zanellini, F. ; Bresesti, P. ; Vailati, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c451t-e8c848669b02696aa38e5b49a81cf82ebac7cf7d70e9348f03e9fc54f4e582be3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Algorithm design and analysis</topic><topic>Algorithms</topic><topic>Design optimization</topic><topic>Electric utilities</topic><topic>Genetic algorithms</topic><topic>Genetic algorithms (GAs)</topic><topic>Genetics</topic><topic>Load flow</topic><topic>multiobjective optimization</topic><topic>Network topology</topic><topic>Networks</topic><topic>Operators</topic><topic>Optimization</topic><topic>Parallel flow</topic><topic>parallel flows</topic><topic>Power system interconnection</topic><topic>Power system security</topic><topic>power transfer distribution factors (PTDFs)</topic><topic>Studies</topic><topic>Substations</topic><topic>System testing</topic><topic>Topology</topic><topic>Transformers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Granelli, G.</creatorcontrib><creatorcontrib>Montagna, M.</creatorcontrib><creatorcontrib>Zanellini, F.</creatorcontrib><creatorcontrib>Bresesti, P.</creatorcontrib><creatorcontrib>Vailati, R.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications 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><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on power systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Granelli, G.</au><au>Montagna, M.</au><au>Zanellini, F.</au><au>Bresesti, P.</au><au>Vailati, R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A genetic algorithm-based procedure to optimize system topology against parallel flows</atitle><jtitle>IEEE transactions on power systems</jtitle><stitle>TPWRS</stitle><date>2006-02-01</date><risdate>2006</risdate><volume>21</volume><issue>1</issue><spage>333</spage><epage>340</epage><pages>333-340</pages><issn>0885-8950</issn><eissn>1558-0679</eissn><coden>ITPSEG</coden><abstract>Parallel (or loop) flows consist in the undesired circulation of power flows through certain interconnection corridors. Remedial actions available to transmission system operators or system planners include installation and operation of phase-shifting transformers and of dc transmission systems. Moreover, the invaluable experience of transmission system operators has shown that the network can be operated so as to reduce parallel flows also by properly selecting the topology of the system. In the present paper, a genetic algorithm-based procedure is designed for the topological optimization of the network against parallel flows. The control variables considered are the status of substation breakers and the location (and angle) of phase-shifting transformers. The problem is formulated as a multiobjective optimization. The main objective is that of reducing the power transfer distribution factor of an assigned transaction with reference to a set of lines; N and N-1 security levels are accounted for by means of subsidiary objective functions. The procedure is tested on a small CIGRE sample system and on a 4500-bus network representative of the European electric system (UCTE).</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPWRS.2005.860921</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0885-8950 |
| ispartof | IEEE transactions on power systems, 2006-02, Vol.21 (1), p.333-340 |
| issn | 0885-8950 1558-0679 |
| language | eng |
| recordid | cdi_proquest_journals_865888958 |
| source | IEEE Electronic Library (IEL) |
| subjects | Algorithm design and analysis Algorithms Design optimization Electric utilities Genetic algorithms Genetic algorithms (GAs) Genetics Load flow multiobjective optimization Network topology Networks Operators Optimization Parallel flow parallel flows Power system interconnection Power system security power transfer distribution factors (PTDFs) Studies Substations System testing Topology Transformers |
| title | A genetic algorithm-based procedure to optimize system topology against parallel flows |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T09%3A50%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20genetic%20algorithm-based%20procedure%20to%20optimize%20system%20topology%20against%20parallel%20flows&rft.jtitle=IEEE%20transactions%20on%20power%20systems&rft.au=Granelli,%20G.&rft.date=2006-02-01&rft.volume=21&rft.issue=1&rft.spage=333&rft.epage=340&rft.pages=333-340&rft.issn=0885-8950&rft.eissn=1558-0679&rft.coden=ITPSEG&rft_id=info:doi/10.1109/TPWRS.2005.860921&rft_dat=%3Cproquest_RIE%3E28027849%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=865888958&rft_id=info:pmid/&rft_ieee_id=1583730&rfr_iscdi=true |