Modified harmony search algorithm for combined economic emission dispatch of microgrid incorporating renewable sources
Nowadays, there is a growing interest in the microgrid systems with a high penetration of renewable sources. In this paper, the modified harmony search (MHS) algorithm is proposed to solve the combined economic emission dispatch (CEED) problem of the microgrid taking into account the solar and wind...
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Veröffentlicht in: | Energy (Oxford) 2018-09, Vol.159, p.496-507 |
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description | Nowadays, there is a growing interest in the microgrid systems with a high penetration of renewable sources. In this paper, the modified harmony search (MHS) algorithm is proposed to solve the combined economic emission dispatch (CEED) problem of the microgrid taking into account the solar and wind power cost functions. The proposed algorithm can be derived by not only adjusting the parameters but also improving the structure and operation of the original harmony search (HS) algorithm. The solution of the CEED problem of the microgrid taking into account the solar and wind power cost functions is obtained for different scenarios using the MHS algorithm and some recently published algorithms. The results of all scenarios show the effectiveness of the MHS algorithm over other published algorithms employing same data.
•A modified harmony search (MHS) algorithm is proposed in this work.•The MHS is proposed to solve the CEED problem for microgrid with renewable sources.•Different scenarios have been used to evaluate the proposed method.•The results show the superiority of MHS algorithm over other algorithms. |
doi_str_mv | 10.1016/j.energy.2018.06.137 |
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•A modified harmony search (MHS) algorithm is proposed in this work.•The MHS is proposed to solve the CEED problem for microgrid with renewable sources.•Different scenarios have been used to evaluate the proposed method.•The results show the superiority of MHS algorithm over other algorithms.</description><identifier>ISSN: 0360-5442</identifier><identifier>EISSN: 1873-6785</identifier><identifier>DOI: 10.1016/j.energy.2018.06.137</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Algorithms ; Alternative energy sources ; Combined economic emission dispatch ; Cost function ; Distributed generation ; Electricity generation ; Emissions ; Microgrid ; Modified harmony search ; Renewable energy ; Search algorithms ; Solar power ; Solar power cost function ; Wind power ; Wind power cost function</subject><ispartof>Energy (Oxford), 2018-09, Vol.159, p.496-507</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright Elsevier BV Sep 15, 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c373t-f2cdb545c2b10141464008f2989b7a3e6ca71a664e1b51447852ec55b9ff108c3</citedby><cites>FETCH-LOGICAL-c373t-f2cdb545c2b10141464008f2989b7a3e6ca71a664e1b51447852ec55b9ff108c3</cites><orcidid>0000-0002-3966-2584</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0360544218312027$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Elattar, Ehab E.</creatorcontrib><title>Modified harmony search algorithm for combined economic emission dispatch of microgrid incorporating renewable sources</title><title>Energy (Oxford)</title><description>Nowadays, there is a growing interest in the microgrid systems with a high penetration of renewable sources. In this paper, the modified harmony search (MHS) algorithm is proposed to solve the combined economic emission dispatch (CEED) problem of the microgrid taking into account the solar and wind power cost functions. The proposed algorithm can be derived by not only adjusting the parameters but also improving the structure and operation of the original harmony search (HS) algorithm. The solution of the CEED problem of the microgrid taking into account the solar and wind power cost functions is obtained for different scenarios using the MHS algorithm and some recently published algorithms. The results of all scenarios show the effectiveness of the MHS algorithm over other published algorithms employing same data.
•A modified harmony search (MHS) algorithm is proposed in this work.•The MHS is proposed to solve the CEED problem for microgrid with renewable sources.•Different scenarios have been used to evaluate the proposed method.•The results show the superiority of MHS algorithm over other algorithms.</description><subject>Algorithms</subject><subject>Alternative energy sources</subject><subject>Combined economic emission dispatch</subject><subject>Cost function</subject><subject>Distributed generation</subject><subject>Electricity generation</subject><subject>Emissions</subject><subject>Microgrid</subject><subject>Modified harmony search</subject><subject>Renewable energy</subject><subject>Search algorithms</subject><subject>Solar power</subject><subject>Solar power cost function</subject><subject>Wind power</subject><subject>Wind power cost function</subject><issn>0360-5442</issn><issn>1873-6785</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kMtOwzAURC0EEuXxBywssU6wE9tJNkgI8ZKK2MDacpzr1lVjl-u0qH-Pq7Jm5cWdGc8cQm44Kznj6m5VQgBc7MuK8bZkquR1c0JmvG3qQjWtPCUzVitWSCGqc3KR0ooxJtuum5Hdexy88zDQpcExhj1NYNAuqVkvIvppOVIXkdo49j5kFdgY4ugthdGn5GOgg08bM2VHdDQfMC7QD9QHG3ET0Uw-LCjmfj-mXwNNcYsW0hU5c2ad4PrvvSRfz0-fj6_F_OPl7fFhXti6qafCVXbopZC26vNQwYUSjLWu6tqub0wNypqGG6UE8F5yIfLWCqyUfeccZ62tL8ntMXeD8XsLadKrXCDkL3XFuazqnMezShxVuX1KCE5v0I8G95ozfSCsV_pIWB8Ia6Z0Jpxt90cb5AU7D6iT9RAsDB7BTnqI_v-AX4liiMA</recordid><startdate>20180915</startdate><enddate>20180915</enddate><creator>Elattar, Ehab E.</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7ST</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-3966-2584</orcidid></search><sort><creationdate>20180915</creationdate><title>Modified harmony search algorithm for combined economic emission dispatch of microgrid incorporating renewable sources</title><author>Elattar, Ehab E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c373t-f2cdb545c2b10141464008f2989b7a3e6ca71a664e1b51447852ec55b9ff108c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Algorithms</topic><topic>Alternative energy sources</topic><topic>Combined economic emission dispatch</topic><topic>Cost function</topic><topic>Distributed generation</topic><topic>Electricity generation</topic><topic>Emissions</topic><topic>Microgrid</topic><topic>Modified harmony search</topic><topic>Renewable energy</topic><topic>Search algorithms</topic><topic>Solar power</topic><topic>Solar power cost function</topic><topic>Wind power</topic><topic>Wind power cost function</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Elattar, Ehab E.</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Energy (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Elattar, Ehab E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modified harmony search algorithm for combined economic emission dispatch of microgrid incorporating renewable sources</atitle><jtitle>Energy (Oxford)</jtitle><date>2018-09-15</date><risdate>2018</risdate><volume>159</volume><spage>496</spage><epage>507</epage><pages>496-507</pages><issn>0360-5442</issn><eissn>1873-6785</eissn><abstract>Nowadays, there is a growing interest in the microgrid systems with a high penetration of renewable sources. In this paper, the modified harmony search (MHS) algorithm is proposed to solve the combined economic emission dispatch (CEED) problem of the microgrid taking into account the solar and wind power cost functions. The proposed algorithm can be derived by not only adjusting the parameters but also improving the structure and operation of the original harmony search (HS) algorithm. The solution of the CEED problem of the microgrid taking into account the solar and wind power cost functions is obtained for different scenarios using the MHS algorithm and some recently published algorithms. The results of all scenarios show the effectiveness of the MHS algorithm over other published algorithms employing same data.
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subjects | Algorithms Alternative energy sources Combined economic emission dispatch Cost function Distributed generation Electricity generation Emissions Microgrid Modified harmony search Renewable energy Search algorithms Solar power Solar power cost function Wind power Wind power cost function |
title | Modified harmony search algorithm for combined economic emission dispatch of microgrid incorporating renewable sources |
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