Multi‐objective economic emission dispatch using interior search algorithm
Summary The purpose of the combined economic emission dispatch of generation in an electric power is to offer the finest schedule for the generating units which must run with both lesser fuel cost and emission levels concurrently thereby fulfilling the system equality and inequality constraints. Thi...
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| Veröffentlicht in: | International transactions on electrical energy systems 2019-01, Vol.29 (1), p.e2683-n/a |
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| container_title | International transactions on electrical energy systems |
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| creator | Karthik, Nagarajan Parvathy, Ayalur Krishnamoorthy Arul, Rajagopalan |
| description | Summary
The purpose of the combined economic emission dispatch of generation in an electric power is to offer the finest schedule for the generating units which must run with both lesser fuel cost and emission levels concurrently thereby fulfilling the system equality and inequality constraints. This paper presents an interior search algorithm (ISA) for solving multi‐objective combined economic emission dispatch (CEED) problems. Simulation results obtained substantiate the efficiency of ISA algorithm in solving the CEED problems. The effectiveness of the proposed ISA is investigated on five various test systems which comprise three‐unit system, IEEE 30‐bus system, 10‐unit system, 20‐unit system, and Taiwan 40‐unit generating system. Simulation results and their comparison with other meta‐heuristic optimization techniques reveal that the proposed ISA is proficient in solving CEED problem of fossil fuel generators. |
| doi_str_mv | 10.1002/etep.2683 |
| format | Article |
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The purpose of the combined economic emission dispatch of generation in an electric power is to offer the finest schedule for the generating units which must run with both lesser fuel cost and emission levels concurrently thereby fulfilling the system equality and inequality constraints. This paper presents an interior search algorithm (ISA) for solving multi‐objective combined economic emission dispatch (CEED) problems. Simulation results obtained substantiate the efficiency of ISA algorithm in solving the CEED problems. The effectiveness of the proposed ISA is investigated on five various test systems which comprise three‐unit system, IEEE 30‐bus system, 10‐unit system, 20‐unit system, and Taiwan 40‐unit generating system. Simulation results and their comparison with other meta‐heuristic optimization techniques reveal that the proposed ISA is proficient in solving CEED problem of fossil fuel generators.</description><identifier>ISSN: 2050-7038</identifier><identifier>EISSN: 2050-7038</identifier><identifier>DOI: 10.1002/etep.2683</identifier><language>eng</language><publisher>Hoboken: Hindawi Limited</publisher><subject>Algorithms ; combined economic emission dispatch ; Computer simulation ; Economics ; Electric power ; Emissions ; Fossil fuels ; interior search algorithm ; meta‐heuristic algorithm ; Optimization ; Optimization techniques ; Search algorithms ; valve point loading effect</subject><ispartof>International transactions on electrical energy systems, 2019-01, Vol.29 (1), p.e2683-n/a</ispartof><rights>2018 John Wiley & Sons, Ltd.</rights><rights>2019 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3323-bd581a8a68c622de0ae0f824768b3e285e06a0fdcf099a9edbba5c32d9e98c3c3</citedby><cites>FETCH-LOGICAL-c3323-bd581a8a68c622de0ae0f824768b3e285e06a0fdcf099a9edbba5c32d9e98c3c3</cites><orcidid>0000-0002-9270-2821 ; 0000-0003-3863-1396</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fetep.2683$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fetep.2683$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,27929,27930,45579,45580</link.rule.ids></links><search><creatorcontrib>Karthik, Nagarajan</creatorcontrib><creatorcontrib>Parvathy, Ayalur Krishnamoorthy</creatorcontrib><creatorcontrib>Arul, Rajagopalan</creatorcontrib><title>Multi‐objective economic emission dispatch using interior search algorithm</title><title>International transactions on electrical energy systems</title><description>Summary
The purpose of the combined economic emission dispatch of generation in an electric power is to offer the finest schedule for the generating units which must run with both lesser fuel cost and emission levels concurrently thereby fulfilling the system equality and inequality constraints. This paper presents an interior search algorithm (ISA) for solving multi‐objective combined economic emission dispatch (CEED) problems. Simulation results obtained substantiate the efficiency of ISA algorithm in solving the CEED problems. The effectiveness of the proposed ISA is investigated on five various test systems which comprise three‐unit system, IEEE 30‐bus system, 10‐unit system, 20‐unit system, and Taiwan 40‐unit generating system. Simulation results and their comparison with other meta‐heuristic optimization techniques reveal that the proposed ISA is proficient in solving CEED problem of fossil fuel generators.</description><subject>Algorithms</subject><subject>combined economic emission dispatch</subject><subject>Computer simulation</subject><subject>Economics</subject><subject>Electric power</subject><subject>Emissions</subject><subject>Fossil fuels</subject><subject>interior search algorithm</subject><subject>meta‐heuristic algorithm</subject><subject>Optimization</subject><subject>Optimization techniques</subject><subject>Search algorithms</subject><subject>valve point loading effect</subject><issn>2050-7038</issn><issn>2050-7038</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kEtOwzAQhi0EElXpghtEYsUirR952EtUlYdUBIuythxn0jpK4mA7oO44AmfkJKSUBRtmM6Nf38xIH0KXBM8JxnQBAfo5zTg7QROKUxznmPHTP_M5mnlf47FEQkjOJ2j9ODTBfH182qIGHcwbRKBtZ1ujI2iN98Z2UWl8r4LeRYM33TYyXQBnrIs8KDemqtlaZ8KuvUBnlWo8zH77FL3crjbL-3j9dPewvFnHmjHK4qJMOVFcZVxnlJaAFeCK0yTPeMGA8hRwpnBV6goLoQSURaFSzWgpQHDNNJuiq-Pd3tnXAXyQtR1cN76UlGSCJDxh6UhdHyntrPcOKtk70yq3lwTLgy958CUPvkZ2cWTfTQP7_0G52qyefza-ATVtbxg</recordid><startdate>201901</startdate><enddate>201901</enddate><creator>Karthik, Nagarajan</creator><creator>Parvathy, Ayalur Krishnamoorthy</creator><creator>Arul, Rajagopalan</creator><general>Hindawi Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-9270-2821</orcidid><orcidid>https://orcid.org/0000-0003-3863-1396</orcidid></search><sort><creationdate>201901</creationdate><title>Multi‐objective economic emission dispatch using interior search algorithm</title><author>Karthik, Nagarajan ; Parvathy, Ayalur Krishnamoorthy ; Arul, Rajagopalan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3323-bd581a8a68c622de0ae0f824768b3e285e06a0fdcf099a9edbba5c32d9e98c3c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>combined economic emission dispatch</topic><topic>Computer simulation</topic><topic>Economics</topic><topic>Electric power</topic><topic>Emissions</topic><topic>Fossil fuels</topic><topic>interior search algorithm</topic><topic>meta‐heuristic algorithm</topic><topic>Optimization</topic><topic>Optimization techniques</topic><topic>Search algorithms</topic><topic>valve point loading effect</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Karthik, Nagarajan</creatorcontrib><creatorcontrib>Parvathy, Ayalur Krishnamoorthy</creatorcontrib><creatorcontrib>Arul, Rajagopalan</creatorcontrib><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>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>International transactions on electrical energy systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Karthik, Nagarajan</au><au>Parvathy, Ayalur Krishnamoorthy</au><au>Arul, Rajagopalan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi‐objective economic emission dispatch using interior search algorithm</atitle><jtitle>International transactions on electrical energy systems</jtitle><date>2019-01</date><risdate>2019</risdate><volume>29</volume><issue>1</issue><spage>e2683</spage><epage>n/a</epage><pages>e2683-n/a</pages><issn>2050-7038</issn><eissn>2050-7038</eissn><abstract>Summary
The purpose of the combined economic emission dispatch of generation in an electric power is to offer the finest schedule for the generating units which must run with both lesser fuel cost and emission levels concurrently thereby fulfilling the system equality and inequality constraints. This paper presents an interior search algorithm (ISA) for solving multi‐objective combined economic emission dispatch (CEED) problems. Simulation results obtained substantiate the efficiency of ISA algorithm in solving the CEED problems. The effectiveness of the proposed ISA is investigated on five various test systems which comprise three‐unit system, IEEE 30‐bus system, 10‐unit system, 20‐unit system, and Taiwan 40‐unit generating system. Simulation results and their comparison with other meta‐heuristic optimization techniques reveal that the proposed ISA is proficient in solving CEED problem of fossil fuel generators.</abstract><cop>Hoboken</cop><pub>Hindawi Limited</pub><doi>10.1002/etep.2683</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-9270-2821</orcidid><orcidid>https://orcid.org/0000-0003-3863-1396</orcidid><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | Wiley Online Library All Journals |
| subjects | Algorithms combined economic emission dispatch Computer simulation Economics Electric power Emissions Fossil fuels interior search algorithm meta‐heuristic algorithm Optimization Optimization techniques Search algorithms valve point loading effect |
| title | Multi‐objective economic emission dispatch using interior search algorithm |
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