Long-term Performance Comparison of Multiple Distributed Generation Allocations Using a Clustering-based Method

Basit Öğe Kaydı
dc.contributor.authorUgranli, Faruk
dc.contributor.authorKaratepe, Engin
dc.date.accessioned2019-10-27T21:34:14Z
dc.date.available2019-10-27T21:34:14Z
dc.date.issued2012
dc.departmentEge Üniversitesien_US
dc.description.abstractDistributed generation is becoming a part of the strategic plans of electricity providers for effective system management. The proper planning of multiple distributed generation units plays an important role in modern power systems to offer a highly reliable system. Computation of power flows is one of the major tasks in system planning studies. Conventional load flow analysis methods are impractical to evaluate every possible or probable combination of loads and different allocations of distributed generation units because of the extremely large computational effort required. This article proposes an expansion method to perform load flow analysis with consideration of multiple distributed generation integration and load uncertainties. The proposed approach offers a method to handle the impacts of all possible allocations of distributed generation units without increasing computational efforts. The impacts of placement and penetration level of multiple distributed generation on power losses, voltage deviation, and line capacity are investigated under load uncertainty over a long-term period on the IEEE 57-, IEEE 30-, IEEE 14-, and 9-bus networks for future planning study purposes. The study results indicate that the proposed method has significantly reduced the computational efforts while maintaining a high degree of accuracy in evaluating various possible scenarios in which multiple distributed generation units have to be integrated into the grid.en_US
dc.identifier.doi10.1080/15325008.2011.629335
dc.identifier.endpage218en_US
dc.identifier.issn1532-5008
dc.identifier.issn1532-5016
dc.identifier.issn1532-5008en_US
dc.identifier.issn1532-5016en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage195en_US
dc.identifier.urihttps://doi.org/10.1080/15325008.2011.629335
dc.identifier.urihttps://hdl.handle.net/11454/45608
dc.identifier.volume40en_US
dc.identifier.wosWOS:000301974100005en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofElectric Power Components and Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectdistributed generationen_US
dc.subjectuncertaintyen_US
dc.subjectperformanceen_US
dc.subjectplanningen_US
dc.subjectmultiple distributed generationen_US
dc.subjectclusteringen_US
dc.titleLong-term Performance Comparison of Multiple Distributed Generation Allocations Using a Clustering-based Methoden_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu