Reliable and Environmental Economic Dispatch in a Microgrid with Renewable Energy Sources

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annif.suggestionsrenewable energy sources|sources of energy|energy production (process industry)|emissions|costs|genetic algorithms|balance of power|environmental economics|reserve supplies|electrical power networks|enen
annif.suggestions.linkshttp://www.yso.fi/onto/yso/p20762|http://www.yso.fi/onto/yso/p2383|http://www.yso.fi/onto/yso/p2384|http://www.yso.fi/onto/yso/p437|http://www.yso.fi/onto/yso/p7517|http://www.yso.fi/onto/yso/p7987|http://www.yso.fi/onto/yso/p22440|http://www.yso.fi/onto/yso/p13441|http://www.yso.fi/onto/yso/p730|http://www.yso.fi/onto/yso/p7753en
dc.contributor.authorHagh, Mehrdad Tarafdar
dc.contributor.authorPouyafar, Saeed
dc.contributor.authorSohrabi, Farnaz
dc.contributor.authorShaker, Ayda
dc.contributor.authorVahid-Ghavidel, Morteza
dc.contributor.authorCatalão, João P. S.
dc.contributor.authorShafie-khah, Miadreza
dc.contributor.departmentVebic-
dc.contributor.facultyfi=Tekniikan ja innovaatiojohtamisen yksikkö|en=School of Technology and Innovations|-
dc.contributor.orcidhttps://orcid.org/0000-0003-1691-5355-
dc.contributor.organizationfi=Vaasan yliopisto|en=University of Vaasa|
dc.date.accessioned2021-02-19T06:40:43Z
dc.date.accessioned2025-06-25T12:51:09Z
dc.date.available2021-08-26T00:00:22Z
dc.date.issued2019-08-26
dc.description.abstractThis paper contrasts the Genetic Algorithm (GA) strategies to solve the problem of Economic Dispatch (ED) in a Microgrid (MG). An environmental ED strategy for MG is proposed through maintaining the system reliability requirements at acceptable level. Two additional cost terms such as the CO 2 emission penalties and load curtailment charges are added to the traditional objective function of the ED problem. Also, cost and reserve supply of the network are considered. Since the load curtailment cost is highly dependent to the network reliability indices, specifically those determining network inability to supply demand, the Expected Energy Not Served (EENS) reliability index is used to calculate the curtailment costs. By illustrating the advantages of Inherit Based Genetic Algorithm (IBGA) over the other two strategies, namely Simple Genetic Algorithm (SGA) and 3-matrices Genetic Algorithm (3MGA), IBGA is used to solve the proposed Reliable, Environmental Economic Dispatch (REED) problem in a MG.-
dc.description.notification©2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.description.reviewstatusfi=vertaisarvioitu|en=peerReviewed|-
dc.embargo.lift2021-08-26
dc.embargo.terms2021-08-26
dc.format.bitstreamtrue
dc.format.contentfi=kokoteksti|en=fulltext|-
dc.format.extent6-
dc.format.pagerange1-6-
dc.identifier.isbn978-1-5386-4722-6-
dc.identifier.olddbid13650
dc.identifier.oldhandle10024/12143
dc.identifier.urihttps://osuva.uwasa.fi/handle/11111/1033
dc.identifier.urnURN:NBN:fi-fe202102195380-
dc.language.isoeng-
dc.publisherIEEE-
dc.relation.doi10.1109/PTC.2019.8810462-
dc.relation.ispartof2019 IEEE Milan PowerTech-
dc.relation.urlhttps://doi.org/10.1109/PTC.2019.8810462-
dc.source.identifierhttps://osuva.uwasa.fi/handle/10024/12143
dc.source.metadataScopus: 85072331310-
dc.subjectEnvironmental/economic dispatch-
dc.subjectMicro grid-
dc.subjectReliability-
dc.subjectRenewable energy sources (RESs)-
dc.subjectGenetic algorithm-
dc.subject.disciplinefi=Sähkötekniikka|en=Electrical Engineering|-
dc.titleReliable and Environmental Economic Dispatch in a Microgrid with Renewable Energy Sources-
dc.type.okmfi=A4 Artikkeli konferenssijulkaisussa|en=A4 Peer-reviewed article in conference proceeding|sv=A4 Artikel i en konferenspublikation|-
dc.type.publicationarticle-
dc.type.versionacceptedVersion-

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