A novel seeker optimization approach for solving combined economic and emission dispatch
Over the past 50 years the average global temperature has increased at the fastest rate in record history. The main reason behind this is emission of Carbon dioxide from thermal power plants. The U.S only produces 2.5 billion tons every year. This paper solves the problem of emission dispatch includ...
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| creator | Syed, M. S. Syed, A. R. Rao, Y. S. |
| description | Over the past 50 years the average global temperature has increased at the fastest rate in record history. The main reason behind this is emission of Carbon dioxide from thermal power plants. The U.S only produces 2.5 billion tons every year. This paper solves the problem of emission dispatch including economic dispatch combining as combined economic dispatch and emission dispatch (CEED). Economic dispatch gives a solution to reduce the total fuel cost while Emission dispatch is to reduce the emission level with the required system constraints. In this paper Particle swarm Optimization is used to solve CEED on a test system and the results are compared with Ant Colony Optimization (ACO) algorithm. |
| doi_str_mv | 10.1109/ICPEC.2013.6527684 |
| format | Conference Proceeding |
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In this paper Particle swarm Optimization is used to solve CEED on a test system and the results are compared with Ant Colony Optimization (ACO) algorithm.</description><subject>Ant Colony Optimization</subject><subject>Economic Dispatch</subject><subject>Economics</subject><subject>Emission dispatch</subject><subject>Equations</subject><subject>Fuels</subject><subject>Generators</subject><subject>Mathematical model</subject><subject>Optimization</subject><subject>Particle swarm Optimization</subject><subject>Propagation losses</subject><isbn>1467360279</isbn><isbn>9781467360272</isbn><isbn>9781467360296</isbn><isbn>1467360309</isbn><isbn>9781467360302</isbn><isbn>1467360295</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kM1KxDAUhSMiqGNfQDd5gdakSfOzHMqoAwO6UHA33KY3TrRtSlMG9OmdwZGzOHyL7ywOIbecFZwze7-uX1Z1UTIuClWVWhl5RjKrDZdKC8VKq87J9T9oe0mylD4ZYwdZGVtekfclHeIeO5oQv3CicZxDH35gDnGgMI5TBLejPk40xW4fhg_qYt-EAVuKLg6xD47CcIA-pHR02pBGmN3uhlx46BJmp16Qt4fVa_2Ub54f1_Vykweuqzn3Rno4RptWeis5yKpiygM4hihlyxsUzAqptRHCoDJGNpajqsA1UoJYkLu_3YCI23EKPUzf29MZ4hdPCVSa</recordid><startdate>201302</startdate><enddate>201302</enddate><creator>Syed, M. S.</creator><creator>Syed, A. R.</creator><creator>Rao, Y. S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201302</creationdate><title>A novel seeker optimization approach for solving combined economic and emission dispatch</title><author>Syed, M. S. ; Syed, A. R. ; Rao, Y. S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-f84fafafa78d4f941a45506faac0ee44d1be30934778338e6884b91e65acb44a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Ant Colony Optimization</topic><topic>Economic Dispatch</topic><topic>Economics</topic><topic>Emission dispatch</topic><topic>Equations</topic><topic>Fuels</topic><topic>Generators</topic><topic>Mathematical model</topic><topic>Optimization</topic><topic>Particle swarm Optimization</topic><topic>Propagation losses</topic><toplevel>online_resources</toplevel><creatorcontrib>Syed, M. S.</creatorcontrib><creatorcontrib>Syed, A. R.</creatorcontrib><creatorcontrib>Rao, Y. S.</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>Syed, M. S.</au><au>Syed, A. R.</au><au>Rao, Y. 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Economic dispatch gives a solution to reduce the total fuel cost while Emission dispatch is to reduce the emission level with the required system constraints. In this paper Particle swarm Optimization is used to solve CEED on a test system and the results are compared with Ant Colony Optimization (ACO) algorithm.</abstract><pub>IEEE</pub><doi>10.1109/ICPEC.2013.6527684</doi><tpages>6</tpages></addata></record> |
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| ispartof | 2013 International Conference on Power, Energy and Control (ICPEC), 2013, p.371-376 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Ant Colony Optimization Economic Dispatch Economics Emission dispatch Equations Fuels Generators Mathematical model Optimization Particle swarm Optimization Propagation losses |
| title | A novel seeker optimization approach for solving combined economic and emission dispatch |
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