Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/565907
Title: Analysis of metaheuristic algorithms for emission and economic cost optimization of microgrids
Researcher: Aradhika Somakumar
Guide(s): Padmanathan K
Keywords: Engineering
Engineering and Technology
Engineering Electrical and Electronic
University: Anna University
Completed Date: 2024
Abstract: Microgrids (MG) are interconnected systems that encompasses newlinecrucial as well as non-crucial electrical loads. These loads are supplied newlinethrough conventional as well as non-conventional distributed generation newlinemodes either in islanded mode or grid- connected mode. As the MG consists newlineof several connected distributed resources, it can be also called as and#8215;Hybrid newlineMicrogrid. A hybrid microgrid is a collection of interlinked renewable and newlineconventional energy resources connected to users and controlled by systems newlineto ensure efficient energy usage and storage. The increase in usage of newlinePhotovoltaic (PV) systems and Wind Turbines (WT) to the power grid is newlinepredicted to be the future of hybrid microgrids to achieve clean green energy. newlineElectric Vehicles (EVs) have gained attention in the recent years. The demand newlinefor electricity from the power grid has surged because of the additional usage newlineof EVs. This demand can be met by integrating the EV charging infrastructure newlinewith Renewable Energy Sources (RESs) such as the PV systems and WT newlinetowards decarbonised global society. But, the RESs are intermittent in nature newlinewhich brings add-on challenge for the power systems. newline
Pagination: xxii,210p.
URI: http://hdl.handle.net/10603/565907
Appears in Departments:Faculty of Electrical Engineering

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02_prelimpage.pdf2.72 MBAdobe PDFView/Open
03_content.pdf89.5 kBAdobe PDFView/Open
04_abstract.pdf87.52 kBAdobe PDFView/Open
05_chapter1.pdf1.36 MBAdobe PDFView/Open
06_chapter2.pdf328.84 kBAdobe PDFView/Open
07_chapter3.pdf959.36 kBAdobe PDFView/Open
08_chapter4.pdf2.56 MBAdobe PDFView/Open
09_annexures.pdf181.72 kBAdobe PDFView/Open
80_recommendation.pdf420.05 kBAdobe PDFView/Open
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