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http://hdl.handle.net/10603/424623
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Optimal power management in hybrid grid connected power system | |
dc.date.accessioned | 2022-12-12T08:23:39Z | - |
dc.date.available | 2022-12-12T08:23:39Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/424623 | - |
dc.description.abstract | In 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.extent | xviii, 155p. | |
dc.language | English | |
dc.relation | p.145-154 | |
dc.rights | university | |
dc.title | Optimal power management in hybrid grid connected power system | |
dc.title.alternative | ||
dc.creator.researcher | Karthik, S | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering Electrical and Electronic | |
dc.subject.keyword | power system | |
dc.subject.keyword | Optimal power management | |
dc.description.note | ||
dc.contributor.guide | Vennila, ILA | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Electrical Engineering | |
dc.date.registered | ||
dc.date.completed | 2021 | |
dc.date.awarded | 2021 | |
dc.format.dimensions | 21cm | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Electrical Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 64.99 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.6 MB | Adobe PDF | View/Open | |
03_content.pdf | 166.7 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 116.72 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 618.47 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 1.4 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.54 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.15 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 725.97 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 134.74 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 95.93 kB | Adobe PDF | View/Open |
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