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dc.contributor.authorAslani, Mehrdad
dc.contributor.authorImanloozadeh, Amir
dc.contributor.authorHashemi Dezaki, Hamed
dc.contributor.authorHejazi, Maryam A.
dc.contributor.authorNazififard, Mohammad
dc.contributor.authorKetabi, Abbas
dc.date.accessioned2022-05-30T10:00:13Z-
dc.date.available2022-05-30T10:00:13Z-
dc.date.issued2022
dc.identifier.citationASLANI, M. IMANLOOZADEH, A. HASHEMI DEZAKI, H. HEJAZI, MA. NAZIFIFARD, M. KETABI, A. Optimal probabilistic reliability-oriented planning of islanded microgrids considering hydrogen-based storage systems, hydrogen vehicles, and electric vehicles under various climatic conditions. JOURNAL OF POWER SOURCES, 2022, roč. 525, č. March 2022, s. 1-22. ISSN: 0378-7753cs
dc.identifier.issn0378-7753
dc.identifier.uri2-s2.0-85124311640
dc.identifier.urihttp://hdl.handle.net/11025/47645
dc.format22 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherElsevieren
dc.relation.ispartofseriesJournal Of Power Sourcesen
dc.rightsPlný text je přístupný v rámci univerzity přihlášeným uživatelům.cs
dc.rights© Elsevieren
dc.titleOptimal probabilistic reliability-oriented planning of islanded microgrids considering hydrogen-based storage systems, hydrogen vehicles, and electric vehicles under various climatic conditionsen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessrestrictedAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedMuch attention has been paid to the deployment of Hydrogen storage systems (HSSs) and Hydrogen vehicles (HVs) in the modernized energy system. However, a research gap exists in the literature about optimal probabilistic planning of microgrids (MGs) equipped with HSS, considering the uncertainties of renewable energy resources and electric vehicle (EV) and HV owners’ behaviors. The main purpose of this research is to fill such a gap by developing a new probabilistic optimization problem to determine the capacity of Hydrogen-based MGs’ sub-systems. Another contribution is to consider the reliability constraints and loss of energy cost (LOEC) in the MGs’ total net present cost (TNPC). The Monte Carlo simulation (MCS) and Flower Pollination Algorithm (FPA) are used to model stochastic behaviors and solve the proposed probabilistic optimization problem. This paper studies different actual climates of Iran based on historical data, while various coordinated/uncoordinated charging modes of EVs and HVs are examined. Test results infer that a significant inaccuracy (more than 4.66% depends on the climate conditions and vehicle scenarios) occurs due to neglecting the uncertainties. The sensitivity analyses imply that the reliability constraints, LOEC, and their interactions might affect the MGs’ optimal design.en
dc.subject.translatedoptimal planning of microgridsen
dc.subject.translatedhydrogen-based storage systems (HSSs)en
dc.subject.translatedhydrogen vehicles (HVs)en
dc.subject.translatedelectric vehicles (EVs)en
dc.subject.translatedprobabilistic optimization problemen
dc.subject.translatedMonte Carlo simulation (MCS)en
dc.identifier.doi10.1016/j.jpowsour.2022.231100
dc.type.statusPeer-revieweden
dc.identifier.document-number779903800002
dc.identifier.obd43935623
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