Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23898
DC FieldValueLanguage
dc.contributor.authorNikolaidis, Pavlos-
dc.contributor.authorPoullikkas, Andreas-
dc.date.accessioned2022-02-04T13:02:10Z-
dc.date.available2022-02-04T13:02:10Z-
dc.date.issued2022-01-06-
dc.identifier.citationIET Renewable Power Generation, 2022, vol. 16, no. 1, pp. 92-104en_US
dc.identifier.issn17521424-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/23898-
dc.description.abstractUnder the constraints of fossil-fuel reserves depletion and climate change, the expansion of intermittent renewable generation creates a lot of power integration issues which undeniably disturb the overall system stability. Optimally planned, electricity storage systems are capable of managing the variability and uncertainty of renewable energy sources, guaranteeing power balance and ensuring feasible and economical operation. Here, the outcomes derived by a Genetic algorithm-driven priority list approach is provided, which effectively quantifies the impact of intermittent renewable energy sources on total production cost and the benefits of electricity storage. The experimental evaluation on three benchmark scenarios shows that cost improvements exist in terms of thermal generation improvement, lower renewable generation curtailment and load shedding avoidance cost. Zinc-air battery offers the highest net present value at relatively low PV penetration levels. Increased penetration levels favour Li-ion batteries followed by Pb-acid and Vanadium-redox flow batteries. In general, the viability of each storage device depends on the renewable penetration level, promoting the technologies with lower capital costs at limited shares, whereas at higher contribution frameworks systems with higher performance features become preferable.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofIET Renewable Power Generationen_US
dc.rights© The Authors. This is an open access article under the terms of the Creative Commons Attribution Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectZinc-air batteryen_US
dc.subjectElectricity storageen_US
dc.subjectElectric energy storageen_US
dc.subjectClimate changeen_US
dc.subjectCostsen_US
dc.subjectElectric load sheddingen_US
dc.subjectElectric power plant loadsen_US
dc.titleCo-optimization of active power curtailment, load shedding and spinning reserve deficits through hybrid approach: Comparison of electrochemical storage technologiesen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationCyprus Energy Regulatory Authorityen_US
dc.subject.categoryEnvironmental Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1049/rpg2.12339en_US
dc.identifier.scopus2-s2.0-85121636196-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85121636196-
dc.relation.issue1en_US
dc.relation.volume16en_US
cut.common.academicyear2021-2022en_US
dc.identifier.spage92en_US
dc.identifier.epage104en_US
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.openairetypearticle-
crisitem.journal.journalissn1752-1424-
crisitem.journal.publisherWiley-
crisitem.author.deptDepartment of Mechanical Engineering and Materials Science and Engineering-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcidhttps://orcid.org/0000-0003-3703-4901-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
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