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dc.contributor.authorDosano, Rodel D.
dc.contributor.authorMabaquiao, Nemia H.
dc.contributor.authorGallega-Hisole, Godelyn
dc.contributor.authorCabacas, Regin A.
dc.contributor.authorRa, In-Ho
dc.coverage.spatialIloiloen
dc.coverage.spatialPhilippinesen
dc.date.accessioned2024-04-26T09:55:11Z
dc.date.available2024-04-26T09:55:11Z
dc.date.issued2016-09-01
dc.identifier.citationDosano, R. D., Mabaquiao, N. H., Gallega-Hisole, G., Cabacas, R. A., & Ra, I. (2016). A Novel approach for determining distributed generations penetration level using Least Square Minimization (LSM) curve fitting. Journal of Advanced Computational Intelligence and Intelligent Informatics, 20(6), 1004-1012. https://doi.org/10.20965/jaciii.2016.p1004en
dc.identifier.issn1343-0130
dc.identifier.urihttps://hdl.handle.net/20.500.14353/367
dc.description.abstractWith the publicized benefits offered by renewable energy resources, more and more households embrace the utilization of stand-alone installations ranging from small to medium scale systems. In literature, several studies provide insights on the effects of integration of renewable energy (RE) resources to the distribution systems but have inadequacy of considering the penetration levels. Moreover, RE cost reductions, increasing costs of traditional energy sources, and Renewable Portfolio Standards have created the possibility of significant increase of penetration levels of distributed RE generation being installed on distribution systems. To aid in the evaluation and assist with these expansions, new analysis tools are needed. In particular, new RE high-penetration analysis tools and procedures need to be developed and integrated with existing conventional methods. This paper presents a simulation based study on distribution system with and without integration of RE sources. It takes into account of the impending effects of these RE integrations in the distribution system. This paper emphasizes a novel method of determining the penetration level of Distributed Generation using least square minimization (LSM) method. The studies were tested using IEEE 123 bus distribution test feeder and actual data from an existing distribution system to verify the effectiveness and robustness of the proposed approach.en
dc.description.sponsorshipThis work was supported by the National Foundation of Korea (NSF) grant funded by the Korea government (MSIP) (No.2016R1A2B40130002).en
dc.language.isoenen
dc.publisherFuji Technology Press Ltd.en
dc.relation.urien
dc.rightsAttribution-NoDerivs 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nd/4.0/*
dc.subjectRE resources integrationen
dc.subjectDistributed Generation (DG)en
dc.subjectDG penetration levelsen
dc.subjectPenetration level marginen
dc.subjectStandard feeder systemen
dc.subjectSimulationen
dc.subject.lcshRenewable energy sourcesen
dc.subject.lcshRenewable energy sources--Researchen
dc.subject.lcshElectric utilitiesen
dc.subject.lcshElectromotive forceen
dc.subject.lcshFossil fuelsen
dc.subject.lcshWater-poweren
dc.subject.lcshCOVID-19 (Disease)en
dc.titleA Novel approach for determining distributed generations penetration level using Least Square Minimization (LSM) curve fittingen
dc.typeArticleen
dcterms.accessRightsOpen accessen
dc.citation.journaltitleJournal of Advanced Computational Intelligence and Intelligent Informaticsen
dc.citation.volume20en
dc.citation.issue6en
dc.citation.firstpage1004en
dc.citation.lastpage1012en
dc.identifier.essn1883-8014
dc.identifier.doi10.20965/jaciii.2016.p1004
local.isIndexedByISIen
local.isIndexedByScopusen


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Attribution-NoDerivs 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NoDerivs 4.0 International