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Accuracy Improvement Method of Energy Storage Utilization with DC Voltage Estimation in Large-Scale Photovoltaic Power Plants

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dc.contributor.authorYoo, Yeuntae-
dc.contributor.authorJang, Gilsoo-
dc.contributor.authorKim, Jeong-Hwan-
dc.contributor.authorNam, Iseul-
dc.contributor.authorYoon, Minhan-
dc.contributor.authorJung, Seungmin-
dc.date.accessioned2021-09-01T04:48:41Z-
dc.date.available2021-09-01T04:48:41Z-
dc.date.created2021-06-19-
dc.date.issued2019-10-
dc.identifier.issn1996-1073-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/62595-
dc.description.abstractIn regard to electric devices, currently designed large-scale distributed generation systems require a precise prediction strategy based on the composition of internal component owing to an environmental fluctuating condition and forecasted power variation. A number of renewable resources, such as solar or marine based energies, are made up of a low voltage direct current (DC) network. In addition to actively considering a power compensation plan, these generation systems have negative effects, which can be induced to a connected power system. When a storage is connected to a DC-based generation system on an inner network along with other generators, a precise state analysis plan should back the utilization process. This paper presents a cooperative operating condition, consisting of the shared DC section, which includes photovoltaic (PVs) and energy storage devices. An active storage management plan with voltage-expectation is introduced and compared via a commercialized electro-magnetic transient simulation tool with designed environmental conditions. Owing to their complexity, the case studies were sequentially advanced by dividing state analysis verification and storage device operation.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherMDPI-
dc.subjectSYSTEM-
dc.subjectFLOW-
dc.subjectOPTIMIZATION-
dc.subjectCURTAILMENT-
dc.subjectSTRATEGIES-
dc.subjectTOPOLOGIES-
dc.titleAccuracy Improvement Method of Energy Storage Utilization with DC Voltage Estimation in Large-Scale Photovoltaic Power Plants-
dc.typeArticle-
dc.contributor.affiliatedAuthorJang, Gilsoo-
dc.identifier.doi10.3390/en12203907-
dc.identifier.scopusid2-s2.0-85075018152-
dc.identifier.wosid000498391700103-
dc.identifier.bibliographicCitationENERGIES, v.12, no.20-
dc.relation.isPartOfENERGIES-
dc.citation.titleENERGIES-
dc.citation.volume12-
dc.citation.number20-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEnergy & Fuels-
dc.relation.journalWebOfScienceCategoryEnergy & Fuels-
dc.subject.keywordPlusSYSTEM-
dc.subject.keywordPlusFLOW-
dc.subject.keywordPlusOPTIMIZATION-
dc.subject.keywordPlusCURTAILMENT-
dc.subject.keywordPlusSTRATEGIES-
dc.subject.keywordPlusTOPOLOGIES-
dc.subject.keywordAuthorPV diagnosis-
dc.subject.keywordAuthorESS application-
dc.subject.keywordAuthorDC power flow-
dc.subject.keywordAuthorDC system dynamics-
dc.subject.keywordAuthorhybrid generation system-
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공과대학 (전기전자공학부)
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