Economic Dispatch hydrothermal system with CO2 Emissions Constraints
This paper formulates and solves the mathematical model of optimization for the unit commitment of Economic Dispatch hydrothermal system with CO2 Emissions Constraints, regardless of the transmission network. In this proposal, the optimization model considers an objective function associated with mi...
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Veröffentlicht in: | Revista IEEE América Latina 2017-11, Vol.15 (11), p.2090-2096 |
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description | This paper formulates and solves the mathematical model of optimization for the unit commitment of Economic Dispatch hydrothermal system with CO2 Emissions Constraints, regardless of the transmission network. In this proposal, the optimization model considers an objective function associated with minimization of the cost of electricity subject to technical and environmental constraints. This problem is solved by mixed integer linear programming, obtaining the assignment of thermal units generating capacity to supply the demand of the electrical system for a period of 24 hours, the cost of power generation and emissions dioxide carbon based fuel for thermal generation units involved. Applications on a test system show that the mathematical model of optimization is able to perform satisfactorily the dispatch of electricity, reducing CO2 emissions to the atmosphere. |
doi_str_mv | 10.1109/TLA.2017.8070413 |
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In this proposal, the optimization model considers an objective function associated with minimization of the cost of electricity subject to technical and environmental constraints. This problem is solved by mixed integer linear programming, obtaining the assignment of thermal units generating capacity to supply the demand of the electrical system for a period of 24 hours, the cost of power generation and emissions dioxide carbon based fuel for thermal generation units involved. Applications on a test system show that the mathematical model of optimization is able to perform satisfactorily the dispatch of electricity, reducing CO2 emissions to the atmosphere.</description><identifier>ISSN: 1548-0992</identifier><identifier>EISSN: 1548-0992</identifier><identifier>DOI: 10.1109/TLA.2017.8070413</identifier><language>eng ; spa</language><publisher>Los Alamitos: IEEE</publisher><subject>24-hour model system ; Carbon Dioxide ; CO2 emission ; Economic Dispatch ; Economic models ; Economics ; Electric power generation ; Electricity pricing ; Emissions ; Europe ; Gases ; IEEE transactions ; Integer programming ; Linear programming ; Mathematical analysis ; Mathematical model ; Mathematical models ; Mixed integer ; Mixed integer linear programming ; Operation of Short-Term ; Optimization ; Power dispatch ; Power Generation Scheduling ; Thermal Unit Scheduling ; Unit Commitment</subject><ispartof>Revista IEEE América Latina, 2017-11, Vol.15 (11), p.2090-2096</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-cecae44984cae897beb944776aed8f34dc84a4e341ad7b81017e7a7e3b5a8063</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8070413$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,778,782,794,27907,27908,54741</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8070413$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Espinosa, Santiago</creatorcontrib><creatorcontrib>Arias Cazco, Diego</creatorcontrib><creatorcontrib>Yanez Salcedo, Marco</creatorcontrib><title>Economic Dispatch hydrothermal system with CO2 Emissions Constraints</title><title>Revista IEEE América Latina</title><addtitle>T-LA</addtitle><description>This paper formulates and solves the mathematical model of optimization for the unit commitment of Economic Dispatch hydrothermal system with CO2 Emissions Constraints, regardless of the transmission network. In this proposal, the optimization model considers an objective function associated with minimization of the cost of electricity subject to technical and environmental constraints. This problem is solved by mixed integer linear programming, obtaining the assignment of thermal units generating capacity to supply the demand of the electrical system for a period of 24 hours, the cost of power generation and emissions dioxide carbon based fuel for thermal generation units involved. Applications on a test system show that the mathematical model of optimization is able to perform satisfactorily the dispatch of electricity, reducing CO2 emissions to the atmosphere.</description><subject>24-hour model system</subject><subject>Carbon Dioxide</subject><subject>CO2 emission</subject><subject>Economic Dispatch</subject><subject>Economic models</subject><subject>Economics</subject><subject>Electric power generation</subject><subject>Electricity pricing</subject><subject>Emissions</subject><subject>Europe</subject><subject>Gases</subject><subject>IEEE transactions</subject><subject>Integer programming</subject><subject>Linear programming</subject><subject>Mathematical analysis</subject><subject>Mathematical model</subject><subject>Mathematical models</subject><subject>Mixed integer</subject><subject>Mixed integer linear programming</subject><subject>Operation of Short-Term</subject><subject>Optimization</subject><subject>Power dispatch</subject><subject>Power Generation Scheduling</subject><subject>Thermal Unit Scheduling</subject><subject>Unit Commitment</subject><issn>1548-0992</issn><issn>1548-0992</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkEFLAzEQhYMoWKt3wUvA89ZkkzbJsWxbFRZ66T1ks1M2pbupSYr035vSKl7mDcybGd6H0DMlE0qJetvU80lJqJhIIgin7AaN6JTLgihV3v7r79FDjDtCmJxJNkKLpfWD753FCxcPJtkOd6c2-NRB6M0ex1NM0ONvlzpcrUu87F2Mzg8RV7mkYNyQ4iO625p9hKerjtFmtdxUH0W9fv-s5nVhS0VTYcEa4FxJnlUq0UCjOBdiZqCVW8ZbK7nhwDg1rWgkzWlAGAGsmRpJZmyMXi9nD8F_HSEmvfPHMOSPmqopK1WOfnaRi8sGH2OArT4E15tw0pToMyqdUekzKn1FlVdeLisOAP7sv9MfBT5lHg</recordid><startdate>20171101</startdate><enddate>20171101</enddate><creator>Espinosa, Santiago</creator><creator>Arias Cazco, Diego</creator><creator>Yanez Salcedo, Marco</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>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20171101</creationdate><title>Economic Dispatch hydrothermal system with CO2 Emissions Constraints</title><author>Espinosa, Santiago ; Arias Cazco, Diego ; Yanez Salcedo, Marco</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-cecae44984cae897beb944776aed8f34dc84a4e341ad7b81017e7a7e3b5a8063</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng ; spa</language><creationdate>2017</creationdate><topic>24-hour model system</topic><topic>Carbon Dioxide</topic><topic>CO2 emission</topic><topic>Economic Dispatch</topic><topic>Economic models</topic><topic>Economics</topic><topic>Electric power generation</topic><topic>Electricity pricing</topic><topic>Emissions</topic><topic>Europe</topic><topic>Gases</topic><topic>IEEE transactions</topic><topic>Integer programming</topic><topic>Linear programming</topic><topic>Mathematical analysis</topic><topic>Mathematical model</topic><topic>Mathematical models</topic><topic>Mixed integer</topic><topic>Mixed integer linear programming</topic><topic>Operation of Short-Term</topic><topic>Optimization</topic><topic>Power dispatch</topic><topic>Power Generation Scheduling</topic><topic>Thermal Unit Scheduling</topic><topic>Unit Commitment</topic><toplevel>online_resources</toplevel><creatorcontrib>Espinosa, Santiago</creatorcontrib><creatorcontrib>Arias Cazco, Diego</creatorcontrib><creatorcontrib>Yanez Salcedo, Marco</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>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Revista IEEE América Latina</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Espinosa, Santiago</au><au>Arias Cazco, Diego</au><au>Yanez Salcedo, Marco</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Economic Dispatch hydrothermal system with CO2 Emissions Constraints</atitle><jtitle>Revista IEEE América Latina</jtitle><stitle>T-LA</stitle><date>2017-11-01</date><risdate>2017</risdate><volume>15</volume><issue>11</issue><spage>2090</spage><epage>2096</epage><pages>2090-2096</pages><issn>1548-0992</issn><eissn>1548-0992</eissn><abstract>This paper formulates and solves the mathematical model of optimization for the unit commitment of Economic Dispatch hydrothermal system with CO2 Emissions Constraints, regardless of the transmission network. In this proposal, the optimization model considers an objective function associated with minimization of the cost of electricity subject to technical and environmental constraints. This problem is solved by mixed integer linear programming, obtaining the assignment of thermal units generating capacity to supply the demand of the electrical system for a period of 24 hours, the cost of power generation and emissions dioxide carbon based fuel for thermal generation units involved. Applications on a test system show that the mathematical model of optimization is able to perform satisfactorily the dispatch of electricity, reducing CO2 emissions to the atmosphere.</abstract><cop>Los Alamitos</cop><pub>IEEE</pub><doi>10.1109/TLA.2017.8070413</doi><tpages>7</tpages></addata></record> |
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subjects | 24-hour model system Carbon Dioxide CO2 emission Economic Dispatch Economic models Economics Electric power generation Electricity pricing Emissions Europe Gases IEEE transactions Integer programming Linear programming Mathematical analysis Mathematical model Mathematical models Mixed integer Mixed integer linear programming Operation of Short-Term Optimization Power dispatch Power Generation Scheduling Thermal Unit Scheduling Unit Commitment |
title | Economic Dispatch hydrothermal system with CO2 Emissions Constraints |
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