Rule-expert knowledge-based Petri net approach for distribution system temperature adaptive feeder reconfiguration
This paper presents a novel inference mechanism to determine appropriate switching operations by the rule-expert knowledge-based Petri net (RKPN) approach. A practical distribution system with 26 feeders is specified to reveal the effectiveness of the developed methodology with computer simulations....
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| Veröffentlicht in: | IEEE transactions on power systems 2006-08, Vol.21 (3), p.1362-1370 |
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| container_title | IEEE transactions on power systems |
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| creator | Chuang, Y.-C. Ke, Y.-L. Chen, C.-S. Chen, Y.-L. |
| description | This paper presents a novel inference mechanism to determine appropriate switching operations by the rule-expert knowledge-based Petri net (RKPN) approach. A practical distribution system with 26 feeders is specified to reveal the effectiveness of the developed methodology with computer simulations. The proposed inference mechanism can successfully solve feeder overload/fault contingency based on the load variations resulting from temperature rises |
| doi_str_mv | 10.1109/TPWRS.2006.876681 |
| format | Article |
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A practical distribution system with 26 feeders is specified to reveal the effectiveness of the developed methodology with computer simulations. The proposed inference mechanism can successfully solve feeder overload/fault contingency based on the load variations resulting from temperature rises</description><identifier>ISSN: 0885-8950</identifier><identifier>EISSN: 1558-0679</identifier><identifier>DOI: 10.1109/TPWRS.2006.876681</identifier><identifier>CODEN: ITPSEG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Adaptive systems ; Computer simulation ; Contingency ; Energy consumption ; Faults ; Feeder reconfiguration ; Feeders ; Inference ; Inference mechanisms ; Knowledge base ; load balance ; load transfer ; Management information systems ; Power system modeling ; Power system restoration ; Reconfiguration ; rule-expert knowledge-based Petri net (RKPN) ; service restoration ; Spinning ; Switching ; switching operation ; Temperature distribution ; temperature sensitivity ; Temperature sensors ; Transformers</subject><ispartof>IEEE transactions on power systems, 2006-08, Vol.21 (3), p.1362-1370</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2006</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c324t-809a8464a3bbd0c584ca8b7e3ec12ef2eb74c9f79e7614a086425e724bcb2c033</citedby><cites>FETCH-LOGICAL-c324t-809a8464a3bbd0c584ca8b7e3ec12ef2eb74c9f79e7614a086425e724bcb2c033</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1664973$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1664973$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Chuang, Y.-C.</creatorcontrib><creatorcontrib>Ke, Y.-L.</creatorcontrib><creatorcontrib>Chen, C.-S.</creatorcontrib><creatorcontrib>Chen, Y.-L.</creatorcontrib><title>Rule-expert knowledge-based Petri net approach for distribution system temperature adaptive feeder reconfiguration</title><title>IEEE transactions on power systems</title><addtitle>TPWRS</addtitle><description>This paper presents a novel inference mechanism to determine appropriate switching operations by the rule-expert knowledge-based Petri net (RKPN) approach. A practical distribution system with 26 feeders is specified to reveal the effectiveness of the developed methodology with computer simulations. The proposed inference mechanism can successfully solve feeder overload/fault contingency based on the load variations resulting from temperature rises</description><subject>Adaptive systems</subject><subject>Computer simulation</subject><subject>Contingency</subject><subject>Energy consumption</subject><subject>Faults</subject><subject>Feeder reconfiguration</subject><subject>Feeders</subject><subject>Inference</subject><subject>Inference mechanisms</subject><subject>Knowledge base</subject><subject>load balance</subject><subject>load transfer</subject><subject>Management information systems</subject><subject>Power system modeling</subject><subject>Power system restoration</subject><subject>Reconfiguration</subject><subject>rule-expert knowledge-based Petri net (RKPN)</subject><subject>service restoration</subject><subject>Spinning</subject><subject>Switching</subject><subject>switching operation</subject><subject>Temperature distribution</subject><subject>temperature sensitivity</subject><subject>Temperature sensors</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>eNpdkU1LxDAQhoMouK7-APESvHjqmrRpPo6y-AULyrriMaTpdO3abWuSqvvvzbqC4GEYmPd5ZwZehE4pmVBK1OXi8WX-NEkJ4RMpOJd0D41onsuEcKH20YhImSdS5eQQHXm_IhGMwgi5-dBAAl89uIDf2u6zgXIJSWE8lPgRgqtxCwGbvnedsa-46hwuax_nxRDqrsV-4wOscay4woTBATal6UP9AbgCKMFhB7Zrq3o5RD1ajtFBZRoPJ799jJ5vrhfTu2T2cHs_vZolNktZSCRRRjLOTFYUJbG5ZNbIQkAGlqZQpVAIZlUlFAhOmSGSszQHkbLCFqklWTZGF7u98fX3AXzQ69pbaBrTQjd4LRWnXHKxJc__katucG18Tkuey0zQVESI7iDrOu8dVLp39dq4jaZEbzPQPxnobQZ6l0H0nO08NQD88ZwzFc9-AwQVhfY</recordid><startdate>20060801</startdate><enddate>20060801</enddate><creator>Chuang, Y.-C.</creator><creator>Ke, Y.-L.</creator><creator>Chen, C.-S.</creator><creator>Chen, Y.-L.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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A practical distribution system with 26 feeders is specified to reveal the effectiveness of the developed methodology with computer simulations. The proposed inference mechanism can successfully solve feeder overload/fault contingency based on the load variations resulting from temperature rises</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPWRS.2006.876681</doi><tpages>9</tpages></addata></record> |
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| identifier | ISSN: 0885-8950 |
| ispartof | IEEE transactions on power systems, 2006-08, Vol.21 (3), p.1362-1370 |
| issn | 0885-8950 1558-0679 |
| language | eng |
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| source | IEEE |
| subjects | Adaptive systems Computer simulation Contingency Energy consumption Faults Feeder reconfiguration Feeders Inference Inference mechanisms Knowledge base load balance load transfer Management information systems Power system modeling Power system restoration Reconfiguration rule-expert knowledge-based Petri net (RKPN) service restoration Spinning Switching switching operation Temperature distribution temperature sensitivity Temperature sensors Transformers |
| title | Rule-expert knowledge-based Petri net approach for distribution system temperature adaptive feeder reconfiguration |
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