Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/424623
Full metadata record
DC FieldValueLanguage
dc.coverage.spatialOptimal power management in hybrid grid connected power system
dc.date.accessioned2022-12-12T08:23:39Z-
dc.date.available2022-12-12T08:23:39Z-
dc.identifier.urihttp://hdl.handle.net/10603/424623-
dc.description.abstractIn recent years, the power system has undergone revolutionary improvement with technological transformation. Because of the high usage of electrical equipment, the power grid infrastructure is overstressed and has not been able to handle the rise in demand. Rapid developments in smart grid technology have culminated in the dynamic development of the power grid. To ensure self-sustainability of electrical energy, the emerging variations in the generation, transmission, and delivery of electrical energy as well as real-time control of energy demands need to be handled meticulously. The smart grid must be capable of satisfying the need for electricity in a manner that also meets both environmental and safety issues. newlineDue to the complexities and heterogeneity of the smart grid, artificial intelligence approaches and computational intelligence tend to be some of the enabling technology for future development. The optimistic expectations of the near future are renewable energy sources such as Solar Photo-Voltaic (SPV) and Wind Energy Conversion (WEC) systems since they are plentiful in nature and available at no expense. Moreover, these sources are pollution-free, which makes them a replacement for fossil fuels. In addition to this, to fulfill the dynamic load requirement, a Hybrid Power System (HPS) is implemented that integrates renewable energy sources such as SPV, WEC system, Fuel Cell (FC), and Battery Energy Storage (BES) system with grid connection newline
dc.format.extentxviii, 155p.
dc.languageEnglish
dc.relationp.145-154
dc.rightsuniversity
dc.titleOptimal power management in hybrid grid connected power system
dc.title.alternative
dc.creator.researcherKarthik, S
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordpower system
dc.subject.keywordOptimal power management
dc.description.note
dc.contributor.guideVennila, ILA
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Electrical Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Electrical Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File64.99 kBAdobe PDFView/Open
02_prelim pages.pdf2.6 MBAdobe PDFView/Open
03_content.pdf166.7 kBAdobe PDFView/Open
04_abstract.pdf116.72 kBAdobe PDFView/Open
05_chapter 1.pdf618.47 kBAdobe PDFView/Open
06_chapter 2.pdf1.4 MBAdobe PDFView/Open
07_chapter 3.pdf1.54 MBAdobe PDFView/Open
08_chapter 4.pdf1.15 MBAdobe PDFView/Open
09_chapter 5.pdf725.97 kBAdobe PDFView/Open
10_annexures.pdf134.74 kBAdobe PDFView/Open
80_recommendation.pdf95.93 kBAdobe 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: