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dc.contributor.authorFaraji, Jamal
dc.contributor.authorKetabi, Abbas
dc.contributor.authorHashemi Dezaki, Hamed
dc.date.accessioned2021-01-18T11:00:18Z-
dc.date.available2021-01-18T11:00:18Z-
dc.date.issued2020
dc.identifier.citationFARAJI, J., KETABI, A., HASHEMI DEZAKI, H. Optimization of the scheduling and operation of prosumers considering the loss of life costs of battery storage systems. Journal of Energy Storage, 2020, roč. 31, č. October 2020, s. 1-18. ISSN 2352-152X.cs
dc.identifier.issn2352-152X
dc.identifier.uri2-s2.0-85087798759
dc.identifier.urihttp://hdl.handle.net/11025/42459
dc.format18 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherElsevieren
dc.relation.ispartofseriesJournal of Energy Storageen
dc.rightsPlný text je přístupný v rámci univerzity přihlášeným uživatelům.cs
dc.rights© Elsevieren
dc.titleOptimization of the scheduling and operation of prosumers considering the loss of life costs of battery storage systemsen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessrestrictedAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe deployment of the energy storage systems by prosumers is steadily growing due to uncertainties of renewable energy resources. There is a knowledge gap about the techno-economic analysis of the loss of life (LOL) cost of the battery storage systems (BSSs) in the optimal day-ahead scheduling of the residential and commercial prosumers. This paper tries to fill such a research gap by proposing a novel optimization method for the dayahead scheduling of prosumers, which considers the BSS LOL costs. The comparison of the proposed prosumers’ optimal scheduling method and other existing methods illustrates the techno-economic advantages of the introduced method. Different kinds of BSS technologies, i.e. Li-ion and Lead-acid, are studied in this paper. The proposed method is examined under different weather conditions and corresponding output power of renewable distributed generations. The sensitivity analysis is carried out to investigate how the changes in the BSS LOL cost affect the prosumers’ optimal costs and the operational decisions. The sensitivity analysis results infer that the effectiveness of the proposed method is highlighted when the BSS LOL costs are increased.en
dc.subject.translatedprosumersen
dc.subject.translatedenergy storage system (ESS)en
dc.subject.translatedbatteryen
dc.subject.translatedloss of life (LOL) costen
dc.subject.translatedoptimal operation and schedulingen
dc.subject.translatedrenewable energy sources (RESs)en
dc.identifier.doi10.1016/j.est.2020.101655
dc.type.statusPeer-revieweden
dc.identifier.document-number582467400001
dc.identifier.obd43930148
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