Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/511310
Full metadata record
DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-09-08T10:45:12Z-
dc.date.available2023-09-08T10:45:12Z-
dc.identifier.urihttp://hdl.handle.net/10603/511310-
dc.description.abstractIn order to address the global warming and energy sustainability in the transportation newlinesector, Electric Vehicles (EVs) are the most prominent solution which newlinecause lower emission and less energy. However, the increased incorporation of EVs newlinehinders the system quality significantly in the distribution network. The impacts newlineare visualised with parameters like load demand, system overload situation, and newlinevoltage fluctuation. This conditions arise due to the synchronize load demand newlinesituation between EV Load and the existing system load, the energy engineers newlinedirected towards more effective strategies for mass adoption of EVs into the system. newlinePrimarily,this thesis analyses for different types of EV models to value the newlinecharacteristics effect in the integrated system. The EVs are designed with two newlineload models of slow charging and fast charging conditions along with the system newlinepenetration and battery State of Charge (SOC) condition. A quantitative analysis newlineof both model has been incorporated with EV hosting capacity value in IEEE 33 newlinebus system. In the mean time all the EVs have to energize their battery at Electric newlinevehicle charging stations (EVCS) which must be placed at optimal location in the newlinenetwork to avoid unfavourable system parameters. In this work, the energy loss newlineindices, voltage sensitive factor, and minimum branch current are considered as newlinekey indices for optimal placement of the EVCS and distributed generation (DG). newlineA zonal approach has been introduced in the radial test feeder for effective positioning newlineof EVCS and DG. The proficiency of the proposed method has examined newlinein two test systems; IEEE 33 Bus and 52-bus Indian feeder. The presented simulation newlineresult shows that, DG incorporation with vehicle charging station of suitable newlinevalue of its size and location improves the performance of the network in terms newlineof voltage stability and losses. The defined strategy coordinates DG and EVCS newlinein the radial network; provides a weighted direction of the EV integration in the newlinesystem more suitably. newline
dc.format.extentxiii, 152 p.
dc.languageEnglish
dc.relation133
dc.rightsuniversity
dc.titleSmart Demand Side Management by Scheduling Electric Vehicles in Distribution System
dc.title.alternative
dc.creator.researcherRout, Sagarika
dc.subject.keywordDistribution System
dc.subject.keywordElectric Vehicle
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordEV load model
dc.description.note
dc.contributor.guideBiswal, Gyan Ranjan
dc.publisher.placeSambalpur
dc.publisher.universityVeer Surendra Sai University of Technology
dc.publisher.institutionDepartment of Electrical Engineering
dc.date.registered2017
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electrical Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File295.02 kBAdobe PDFView/Open
02_prelim pages.pdf741.97 kBAdobe PDFView/Open
03_content.pdf2.01 MBAdobe PDFView/Open
04_abstract.pdf2.01 MBAdobe PDFView/Open
05_chapter 1.pdf17.76 MBAdobe PDFView/Open
06_chapter 2.pdf6.2 MBAdobe PDFView/Open
07_chapter 3.pdf22.14 MBAdobe PDFView/Open
08_chapter 4.pdf13.98 MBAdobe PDFView/Open
09_chapter 5.pdf13.54 MBAdobe PDFView/Open
10_chapter 6.pdf2.27 MBAdobe PDFView/Open
11_annexures.pdf898.13 kBAdobe PDFView/Open
80_recommendation.pdf2.57 MBAdobe PDFView/Open


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: