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Integrating Distributed Generation in Power Distribution Networks using Fuzzy Logic

dc.contributor.authorKashfi, Ava Rahman
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Applied Scienceen_US
dc.contributor.departmentDepartment of Electrical & Computer Engineeringen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.external-examinerDr. William Phillipen_US
dc.contributor.graduate-coordinatorDr. Jacek Ilowen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerDr. Jason Guen_US
dc.contributor.thesis-supervisorDr. M. E. El-Hawary and Dr. Michael Cadaen_US
dc.date.accessioned2014-08-22T12:45:16Z
dc.date.available2014-08-22T12:45:16Z
dc.date.defence2014-07-29
dc.date.issued2014-08-22
dc.description.abstractIn this research simulations have been carried out on a 10 kV and IEEE 13 node test distribution feeder to show the impact of adding distributed generations (DG) in the medium voltage distribution network. Equations of power line loss coefficients have been derived for both test feeders in order to determine the best possible case. A fuzzy logic controller has been proposed in the IEEE13 node test distribution feeder to determine the amount of DG output to be added in the network on the basis of power supply-demand gap and time of the day. Another fuzzy logic controller is proposed to select the bus where the DG need to be connected using the input of DG amount needed to be installed and distance of generation from the distribution transformer in the power distribution network.en_US
dc.identifier.urihttp://hdl.handle.net/10222/53990
dc.language.isoenen_US
dc.subjectPower Distribution Networken_US
dc.subjectFuzzy Logicen_US
dc.titleIntegrating Distributed Generation in Power Distribution Networks using Fuzzy Logicen_US
dc.typeThesisen_US

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