Please use this identifier to cite or link to this item: https://etd.cput.ac.za/handle/20.500.11838/3649
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dc.contributor.advisorAdonis, Marco Leroy, Dren_US
dc.contributor.advisorBrandt, Angusen_US
dc.contributor.authorIndarjit, Elishaen_US
dc.date.accessioned2023-01-27T13:26:27Z-
dc.date.available2023-01-27T13:26:27Z-
dc.date.issued2022-
dc.identifier.urihttps://etd.cput.ac.za/handle/20.500.11838/3649-
dc.descriptionThesis (MEng (Electrical Engineering))--Cape Peninsula University of Technology, 2022en_US
dc.description.abstractCommunication networks are growing, and there is a need for improved planning and evolution of network scaling between Smart Grid (SG) and communication networks. The research explores the application of a Software-Defined Network (SDN) to the Smart Grid, for control, intelligence, and management. The same applies to Smart Grid environments; scalability, reliability, and intelligence become requirements. The Smart Grid plays a significant role in providing electrical power to users and enterprises; the requirements are not phased within a location but rely on remote connectivity. This study measures the concept of a Software-Defined Network by the centralized SDN controller and the performance within an integrated network. Further to the application, Software-Defined Network is applied to an SDN Smart home, SDN Automation plant, and SDN Electrical distribution system. Design phases are set out to evaluate the testing upon use case and integrated architecture of SDN and SG. The study proves the successful integration of SDN+SG by a Network Exposure layer added to the target architecture to meet the advanced needs of connectivity to the end-user. Each use case directs the evolution of technology for automation and computing.en_US
dc.language.isoenen_US
dc.publisherCape Peninsula University of Technologyen_US
dc.subjectSmart power gridsen_US
dc.subjectTelecommunication systemsen_US
dc.subjectElectric power systemsen_US
dc.subjectElectric power transmissionen_US
dc.titleSoftware-defined networking based on centralized control for smart grid communicationen_US
dc.typeThesisen_US
Appears in Collections:Electrical, Electronic and Computer Engineering - Master's Degree
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