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태양광 발전 시스템의 향상된 전역 최대 발전전력 추종 기법

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dc.contributor.author장요한-
dc.contributor.author배성우-
dc.contributor.author정승훈-
dc.date.accessioned2022-07-19T04:53:07Z-
dc.date.available2022-07-19T04:53:07Z-
dc.date.created2022-06-29-
dc.date.issued2022-06-
dc.identifier.issn1229-2214-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/170070-
dc.description.abstractThis paper presents an improved maximum power point tracking method that can fast track the global maximum power point (GMPP) for a photovoltaic system under partial shading conditions. The proposed method combines the advantages of the maximum power trapezium (MPT) method and the search-skip-judge method to minimize the tracking voltage intervals. Thus, the proposed method can quickly track the GMPP by skipping unnecessary tracking voltage intervals. The superiority of the proposed method is verified through simulation results in the MATLAB/Simulink and experimental real-time operation results with the hardware-in-the-loop simulation. The simulation and experimental results demonstrated that the proposed method has a faster tracking time than the MPT method under various partial shading conditions.-
dc.language한국어-
dc.language.isoko-
dc.publisher전력전자학회-
dc.title태양광 발전 시스템의 향상된 전역 최대 발전전력 추종 기법-
dc.title.alternativeEnhanced Global Maximum Power Point Tracking Method for a Photovoltaic System-
dc.typeArticle-
dc.contributor.affiliatedAuthor배성우-
dc.identifier.doi10.6113/TKPE.2022.27.3.200-
dc.identifier.bibliographicCitation전력전자학회 논문지, v.27, no.3, pp.200 - 205-
dc.relation.isPartOf전력전자학회 논문지-
dc.citation.title전력전자학회 논문지-
dc.citation.volume27-
dc.citation.number3-
dc.citation.startPage200-
dc.citation.endPage205-
dc.type.rimsART-
dc.identifier.kciidART002847341-
dc.description.journalClass2-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorPhotovoltaic systems-
dc.subject.keywordAuthorPartial shading conditions-
dc.subject.keywordAuthorMaximum power point tracking-
dc.subject.keywordAuthorGlobal maximum power point-
dc.identifier.urlhttp://koreascience.or.kr/article/JAKO202217251772470.page-
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