Application of multi-agent and particle swarm optimization in network reconfiguration of ship power system
Network reconfiguration of ship power system (SPS) may be abstracted as a typical non-linear discrete optimization problem featuring multi-target and multi-constraint. According to the characteristics of SPS, simplified network model and reconfiguration mathematical model of SPS are established. A m...
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creator | Wang, Zheng Wang, Yongji Shang, Anli |
description | Network reconfiguration of ship power system (SPS) may be abstracted as a typical non-linear discrete optimization problem featuring multi-target and multi-constraint. According to the characteristics of SPS, simplified network model and reconfiguration mathematical model of SPS are established. A multi-agent and particle swarm optimization (MAPSO) is presented. The results of simulation show that MAPSO can reconfigure ship power system efficiently. |
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According to the characteristics of SPS, simplified network model and reconfiguration mathematical model of SPS are established. A multi-agent and particle swarm optimization (MAPSO) is presented. 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According to the characteristics of SPS, simplified network model and reconfiguration mathematical model of SPS are established. A multi-agent and particle swarm optimization (MAPSO) is presented. The results of simulation show that MAPSO can reconfigure ship power system efficiently.</description><subject>Circuit faults</subject><subject>Load modeling</subject><subject>Marine vehicles</subject><subject>Mathematical model</subject><subject>Multi-agent and Particle Swarm Optimization (MAPSO)</subject><subject>Network Reconfiguration</subject><subject>Particle swarm optimization</subject><subject>Power systems</subject><subject>Ship Power System (SPS)</subject><subject>Simulation</subject><isbn>1467315249</isbn><isbn>9781467315241</isbn><isbn>9780956715715</isbn><isbn>0956715710</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9jEsKwjAURSMi-OsKnLwNCGlrm3YoorgA5xLqa33afEhSSl29BcWhlwtncA93wqJSFLzMchFnY6dsGe9ykcZZsivnLPL-wceIIk54tmCPvbUtVTKQ0WBqUF0baCsb1AGkvoGVLlDVIvheOgXGBlL0-uikQWPojXuCw8romprO_Z78nSxY06MDP_iAas1mtWw9Rl-u2OZ0vBzOW0LEq3WkpBuueZLzlIv0__oGm4VG-w</recordid><startdate>201206</startdate><enddate>201206</enddate><creator>Wang, Zheng</creator><creator>Wang, Yongji</creator><creator>Shang, Anli</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201206</creationdate><title>Application of multi-agent and particle swarm optimization in network reconfiguration of ship power system</title><author>Wang, Zheng ; Wang, Yongji ; Shang, Anli</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_62603073</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Circuit faults</topic><topic>Load modeling</topic><topic>Marine vehicles</topic><topic>Mathematical model</topic><topic>Multi-agent and Particle Swarm Optimization (MAPSO)</topic><topic>Network Reconfiguration</topic><topic>Particle swarm optimization</topic><topic>Power systems</topic><topic>Ship Power System (SPS)</topic><topic>Simulation</topic><toplevel>online_resources</toplevel><creatorcontrib>Wang, Zheng</creatorcontrib><creatorcontrib>Wang, Yongji</creatorcontrib><creatorcontrib>Shang, Anli</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wang, Zheng</au><au>Wang, Yongji</au><au>Shang, Anli</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Application of multi-agent and particle swarm optimization in network reconfiguration of ship power system</atitle><btitle>2012 Proceedings of International Conference on Modelling, Identification and Control</btitle><stitle>ICMIC</stitle><date>2012-06</date><risdate>2012</risdate><spage>1218</spage><epage>1223</epage><pages>1218-1223</pages><isbn>1467315249</isbn><isbn>9781467315241</isbn><eisbn>9780956715715</eisbn><eisbn>0956715710</eisbn><abstract>Network reconfiguration of ship power system (SPS) may be abstracted as a typical non-linear discrete optimization problem featuring multi-target and multi-constraint. According to the characteristics of SPS, simplified network model and reconfiguration mathematical model of SPS are established. A multi-agent and particle swarm optimization (MAPSO) is presented. The results of simulation show that MAPSO can reconfigure ship power system efficiently.</abstract><pub>IEEE</pub></addata></record> |
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subjects | Circuit faults Load modeling Marine vehicles Mathematical model Multi-agent and Particle Swarm Optimization (MAPSO) Network Reconfiguration Particle swarm optimization Power systems Ship Power System (SPS) Simulation |
title | Application of multi-agent and particle swarm optimization in network reconfiguration of ship power system |
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