Efficient method for estimation of smooth and nonsmooth fuel cost curves for thermal power plants
Summary For accurate economic dispatch solution, it is necessary to periodically estimate the parameters of fuel cost function. This paper proposes an improved differential evolution algorithm for computing the optimal parameters of fuel cost functions for thermal power plants. A new mutation strate...
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Veröffentlicht in: | International transactions on electrical energy systems 2018-03, Vol.28 (3), p.e2498-n/a |
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creator | Sayah, Samir Hamouda, Abdellatif |
description | Summary
For accurate economic dispatch solution, it is necessary to periodically estimate the parameters of fuel cost function. This paper proposes an improved differential evolution algorithm for computing the optimal parameters of fuel cost functions for thermal power plants. A new mutation strategy is suggested to enhance convergence rate and improve solution quality of original differential evolution. The proposed approach is examined on different test systems with several generator cost curve models involving smooth and nonsmooth/nonconvex functions. The results using the proposed approach are compared to those available in recent literature. The results show the efficiency of the proposed estimation approach for obtaining accurate fuel cost parameters without any restriction on the mathematical model of the generator cost curve. |
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For accurate economic dispatch solution, it is necessary to periodically estimate the parameters of fuel cost function. This paper proposes an improved differential evolution algorithm for computing the optimal parameters of fuel cost functions for thermal power plants. A new mutation strategy is suggested to enhance convergence rate and improve solution quality of original differential evolution. The proposed approach is examined on different test systems with several generator cost curve models involving smooth and nonsmooth/nonconvex functions. The results using the proposed approach are compared to those available in recent literature. The results show the efficiency of the proposed estimation approach for obtaining accurate fuel cost parameters without any restriction on the mathematical model of the generator cost curve.</description><identifier>ISSN: 2050-7038</identifier><identifier>EISSN: 2050-7038</identifier><identifier>DOI: 10.1002/etep.2498</identifier><language>eng</language><publisher>Hoboken: Hindawi Limited</publisher><subject>Computing costs ; Cost function ; economic dispatch ; Economic models ; Electric power generation ; Evolutionary algorithms ; fuel cost function ; Fuels ; improved differential evolution algorithm ; Mathematical models ; optimal power flow ; Parameter estimation ; Parameters ; parameters estimation ; Power dispatch ; Power plants ; Thermal power ; Thermal power plants ; Thermoelectricity ; valve‐point loading</subject><ispartof>International transactions on electrical energy systems, 2018-03, Vol.28 (3), p.e2498-n/a</ispartof><rights>Copyright © 2017 John Wiley & Sons, Ltd.</rights><rights>Copyright © 2018 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3328-da8afa551a0c0c5989ceae852213ffe2e0c8c924ee1bc0282658334ea5be1c4d3</citedby><cites>FETCH-LOGICAL-c3328-da8afa551a0c0c5989ceae852213ffe2e0c8c924ee1bc0282658334ea5be1c4d3</cites><orcidid>0000-0002-3407-189X</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.2498$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fetep.2498$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,777,781,1412,27905,27906,45555,45556</link.rule.ids></links><search><creatorcontrib>Sayah, Samir</creatorcontrib><creatorcontrib>Hamouda, Abdellatif</creatorcontrib><title>Efficient method for estimation of smooth and nonsmooth fuel cost curves for thermal power plants</title><title>International transactions on electrical energy systems</title><description>Summary
For accurate economic dispatch solution, it is necessary to periodically estimate the parameters of fuel cost function. This paper proposes an improved differential evolution algorithm for computing the optimal parameters of fuel cost functions for thermal power plants. A new mutation strategy is suggested to enhance convergence rate and improve solution quality of original differential evolution. The proposed approach is examined on different test systems with several generator cost curve models involving smooth and nonsmooth/nonconvex functions. The results using the proposed approach are compared to those available in recent literature. The results show the efficiency of the proposed estimation approach for obtaining accurate fuel cost parameters without any restriction on the mathematical model of the generator cost curve.</description><subject>Computing costs</subject><subject>Cost function</subject><subject>economic dispatch</subject><subject>Economic models</subject><subject>Electric power generation</subject><subject>Evolutionary algorithms</subject><subject>fuel cost function</subject><subject>Fuels</subject><subject>improved differential evolution algorithm</subject><subject>Mathematical models</subject><subject>optimal power flow</subject><subject>Parameter estimation</subject><subject>Parameters</subject><subject>parameters estimation</subject><subject>Power dispatch</subject><subject>Power plants</subject><subject>Thermal power</subject><subject>Thermal power plants</subject><subject>Thermoelectricity</subject><subject>valve‐point loading</subject><issn>2050-7038</issn><issn>2050-7038</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kD9PwzAQxS0EElXpwDewxMSQ1nbi1h5RFShSJRjKbLnOWU2V2MF2qPrtSf8MLNxyd9Lv3ek9hB4pmVJC2AwSdFNWSHGDRoxwki1ILm7_zPdoEuOeDCULShdihHRpbW1qcAm3kHa-wtYHDDHVrU61d9hbHFvv0w5rV2Hn3XWzPTTY-Jiw6cMPxLMu7SC0usGdP0DAXaNdig_ozuomwuTax-jrtdwsV9n64-19-bLOTJ4zkVVaaKs5p5oYYrgU0oAGwRmjubXAgBhhJCsA6NYQJticizwvQPMtUFNU-Rg9Xe52wX_3gwO1931ww0vFCGWLuZSUD9TzhTLBxxjAqi4MVsNRUaJOIapTiOoU4sDOLuyhbuD4P6jKTfl5VvwCZz11WA</recordid><startdate>201803</startdate><enddate>201803</enddate><creator>Sayah, Samir</creator><creator>Hamouda, Abdellatif</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/0000-0002-3407-189X</orcidid></search><sort><creationdate>201803</creationdate><title>Efficient method for estimation of smooth and nonsmooth fuel cost curves for thermal power plants</title><author>Sayah, Samir ; Hamouda, Abdellatif</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3328-da8afa551a0c0c5989ceae852213ffe2e0c8c924ee1bc0282658334ea5be1c4d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Computing costs</topic><topic>Cost function</topic><topic>economic dispatch</topic><topic>Economic models</topic><topic>Electric power generation</topic><topic>Evolutionary algorithms</topic><topic>fuel cost function</topic><topic>Fuels</topic><topic>improved differential evolution algorithm</topic><topic>Mathematical models</topic><topic>optimal power flow</topic><topic>Parameter estimation</topic><topic>Parameters</topic><topic>parameters estimation</topic><topic>Power dispatch</topic><topic>Power plants</topic><topic>Thermal power</topic><topic>Thermal power plants</topic><topic>Thermoelectricity</topic><topic>valve‐point loading</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sayah, Samir</creatorcontrib><creatorcontrib>Hamouda, Abdellatif</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>Sayah, Samir</au><au>Hamouda, Abdellatif</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Efficient method for estimation of smooth and nonsmooth fuel cost curves for thermal power plants</atitle><jtitle>International transactions on electrical energy systems</jtitle><date>2018-03</date><risdate>2018</risdate><volume>28</volume><issue>3</issue><spage>e2498</spage><epage>n/a</epage><pages>e2498-n/a</pages><issn>2050-7038</issn><eissn>2050-7038</eissn><abstract>Summary
For accurate economic dispatch solution, it is necessary to periodically estimate the parameters of fuel cost function. This paper proposes an improved differential evolution algorithm for computing the optimal parameters of fuel cost functions for thermal power plants. A new mutation strategy is suggested to enhance convergence rate and improve solution quality of original differential evolution. The proposed approach is examined on different test systems with several generator cost curve models involving smooth and nonsmooth/nonconvex functions. The results using the proposed approach are compared to those available in recent literature. The results show the efficiency of the proposed estimation approach for obtaining accurate fuel cost parameters without any restriction on the mathematical model of the generator cost curve.</abstract><cop>Hoboken</cop><pub>Hindawi Limited</pub><doi>10.1002/etep.2498</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-3407-189X</orcidid><oa>free_for_read</oa></addata></record> |
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source | Wiley Online Library Journals Frontfile Complete |
subjects | Computing costs Cost function economic dispatch Economic models Electric power generation Evolutionary algorithms fuel cost function Fuels improved differential evolution algorithm Mathematical models optimal power flow Parameter estimation Parameters parameters estimation Power dispatch Power plants Thermal power Thermal power plants Thermoelectricity valve‐point loading |
title | Efficient method for estimation of smooth and nonsmooth fuel cost curves for thermal power plants |
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