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dc.contributor.advisorSingh, Chanan
dc.creatorDuttagupta, Suchismita Sujaya
dc.date.accessioned2006-08-16T19:06:18Z
dc.date.available2006-08-16T19:06:18Z
dc.date.created2003-05
dc.date.issued2006-08-16
dc.identifier.urihttp://hdl.handle.net/1969.1/3851
dc.description.abstractReliability assessment is of primary importance in designing and planning distribution systems that operate in an economic manner with minimal interruption of customer loads. With the advances in renewable energy sources, Distributed Generation (DG), is forecasted to increase in distribution networks. The study of reliability evaluation of such networks is a relatively new area. This research presents a new methodology that can be used to analyze the reliability of such distribution systems and can be applied in preliminary planning studies for such systems. The method uses a sequential Monte Carlo simulation of the distribution systemÂ’s stochastic model to generate the operating behavior and combines that with a path augmenting Max flow algorithm to evaluate the load status for each state change of operation in the system. Overall system and load point reliability indices such as hourly loss of load, frequency of loss of load and expected energy unserved can be computed using this technique. On addition of DG in standby mode of operation at specific locations in the network, the reliability indices can be compared for different scenarios and strategies for placement of DG and their capacities can be determined using this methodology.en
dc.format.extent933288 bytesen
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.subjectDISTRIBUTED GENERATIONen
dc.subjectRELIABILITYen
dc.subjectMAX FLOWen
dc.subjectMONTE CARLOen
dc.titleA reliability assessment methodology for distribution systems with distributed generationen
dc.typeBooken
dc.typeThesisen
thesis.degree.departmenten
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberBhattacharyya, Shankar P.
dc.contributor.committeeMemberEhsani, Mehrdad
dc.contributor.committeeMemberParlos, Alexander G.
dc.type.genreElectronic Thesisen
dc.type.materialtexten
dc.format.digitalOriginborn digitalen


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