Optimal Location of PV Powered Smart Charging Facilities With Energy Storage for Electric Vehicles

Simple item page
dc.contributor.advisorShireen, Wajiha
dc.contributor.committeeMemberHan, Zhu
dc.contributor.committeeMemberPan, Miao
dc.contributor.committeeMemberBarati, Masoud
dc.contributor.committeeMemberLim, Jung-Uk
dc.creatorUmeano, Michael O.
dc.creator.orcid0000-0002-3815-5070
dc.date.accessioned2018-11-30T21:42:05Z
dc.date.available2018-11-30T21:42:05Z
dc.date.createdAugust 2016
dc.date.issued2016-08
dc.date.submittedAugust 2016
dc.date.updated2018-11-30T21:42:05Z
dc.description.abstractIncreasing charging facilities to service electric vehicles (EVs) and Plug-in Hybrid Electric Vehicles (PHEVs) leads to increased stress on the existing electric grid. PV integrated charging stations (PVCS) supplemented with energy storage have provided promising results in reducing dependency on the electric grid for charging PHEVs. Despite advances in power electronics used to interface PVCS with the grid, random charging patterns, structural contingencies and intermittency of solar energy creates the inevitable issue of random power penetration and adoption to/from the grid. To maximize the benefits of PVCS they should be integrated into the distribution network at optimum locations. A well planned and operated PVCS would provide several benefits to the distribution network such as reduction in power losses, voltage regulation and reactive power support. This paper proposes a new method for optimally siting PV powered PHEV charging facilities with energy storage in a distribution network under stress due to heavy penetration of PHEVs. The performance of the proposed heuristic method is demonstrated through a case study using an IEEE 30-bus system.
dc.description.departmentElectrical and Computer Engineering, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10657/3578
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectCharging facility
dc.subjectEV
dc.subjectPVCF
dc.subjectElectric vehicles (EV)
dc.subjectESS
dc.subjectBattery
dc.subjectBattery Controller
dc.subjectDifferential evolution
dc.subjectPHEV
dc.subjectIEEE Test Case
dc.subjectPV
dc.subjectPlug-In Hybrid EV
dc.subjectOptimal Location
dc.subjectAlgorithms
dc.titleOptimal Location of PV Powered Smart Charging Facilities With Energy Storage for Electric Vehicles
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentElectrical and Computer Engineering, Department of
thesis.degree.disciplineElectrical Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

Files

Original bundle

Now showing 1 - 2 of 2
Thumbnail Image
Name:
UMEANO-THESIS-2016.pdf
Size:
2.19 MB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
Thesis Tempelate.zip
Size:
13.6 MB
Format:
Unknown data format
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
LICENSE.txt
Size:
1.81 KB
Format:
Plain Text
Description:
Download

Collections

Published ETD Collection