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dc.contributor.advisorKaraşan, Oya Ekin
dc.contributor.authorArslan, Okan
dc.date.accessioned2016-04-25T08:06:55Z
dc.date.available2016-04-25T08:06:55Z
dc.date.copyright2016-04
dc.date.issued2016-04
dc.date.submitted22-04-2016
dc.identifier.urihttp://hdl.handle.net/11693/28977
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (leaves 135-162).en_US
dc.descriptionThesis (Ph. D.): Bilkent University, Department of Industrial Engineering, İhsan Doğramacı Bilkent University, 2016.en_US
dc.description.abstractWith the introduction of electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs) into the transportation system, a new line of research has emerged in the literature that reconsiders existing problems from the electrified transportation point of view. In this context, our objective is to understand the challenges that arise with the emergence of PHEV technology through a series of essays. Due to their ability to use electricity and gasoline as sources of energy with di↵erent cost structures and limitations, PHEVs stand as both a challenge and an opportunity for the existing transportation systems. They provide transportation cost reductions by utilizing less gasoline, which in turn contribute to the environmental benefits. In this context, we addressed a practically important problem: ‘finding the minimum cost path for PHEVs’. We formally present this problem, show that it is NP-Complete and propose exact and heuristic solution techniques. Using these techniques, we investigate impacts of battery characteristics, driver preferences and road network features on travel costs of a PHEV for long-distance trips. Through this analysis, the location of charging stations is identified as one of the critical factors a↵ecting the costs. In this regard, we introduce another practically important problem: ‘Hybrid charging station location’. Di↵erent than existing approaches to the charging station location problems, we also consider PHEVs when locating stations. We propose a Benders Decomposition algorithm as an exact solution methodology, and accelerate the implementation by generating nondominated cuts. Finally, we analyze the cost and emission impacts of PHEV penetration into electricity networks with widespread adoption of distributed energy resources. Approaching PHEVs from a long-distance point of view, we introduced new problems and solution approaches to the literature. Our results show that by establishing an adequate level of the intercity charging station infrastructure, wellstudied benefits of electrified transportation in urban regions can be extended to long-distance trips.en_US
dc.description.statementofresponsibilityby Okan Arslan.en_US
dc.format.extentxvi, 162 leaves : illustrations, graphics.en_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPlug-in hybrid electric vehiclesen_US
dc.subjectEnergy managementen_US
dc.subjectCharging station locationen_US
dc.subjectVirtual power planten_US
dc.subjectBenders decompositionen_US
dc.subjectDynamic programmingen_US
dc.titleEnergy management in plug-in hybrid electric vehicle penetrated networksen_US
dc.title.alternativeElektrikli hibrit araçların bulunduğu ağlarda enerji yönetimien_US
dc.typeThesisen_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreePh.D.en_US
dc.identifier.itemidB153095


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