Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/519991
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dc.coverage.spatialAnalysis of reconfigured distribution network with distributed generation integration
dc.date.accessioned2023-10-22T06:26:43Z-
dc.date.available2023-10-22T06:26:43Z-
dc.identifier.urihttp://hdl.handle.net/10603/519991-
dc.description.abstractnewline The distribution system connects the power system to the consumers. Increased power generation is a result of rising population and growing demand for electricity. When electricity producing capacity is increased, the capital cost rises dramatically, resulting in a complex distribution system. Distribution losses are significant, when compared to power losses in transmission systems. It demands distribution system automation in order to improve reliability, power quality, and efficiency. So Meta-heuristic algorithms are preferred for solving specific optimization issues. As a result, Particle Swarm Optimization Genetic Algorithm (PSOGA) was used as the optimization algorithm in this study.
dc.format.extentxvi, 120 p.
dc.languageEnglish
dc.relationp. 112-119
dc.rightsuniversity
dc.titleAnalysis of reconfigured distribution network with distributed generation integration
dc.title.alternative
dc.creator.researcherArun Kumar S
dc.subject.keywordDistributed Generation (DG)
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordPower Generation
dc.subject.keywordPSOGA
dc.description.note
dc.contributor.guidePadma S
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Electrical Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions21 cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Electrical Engineering

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01_title.pdfAttached File29.04 kBAdobe PDFView/Open
02_prelim_pages.pdf2.44 MBAdobe PDFView/Open
03_contents.pdf28.3 kBAdobe PDFView/Open
04_abstracts.pdf76.87 kBAdobe PDFView/Open
05_chapter 1.pdf476.12 kBAdobe PDFView/Open
06_chapter 2.pdf128.25 kBAdobe PDFView/Open
07_chapter 3.pdf479.18 kBAdobe PDFView/Open
08_chapter 4.pdf364.03 kBAdobe PDFView/Open
09_chapter 5.pdf262.82 kBAdobe PDFView/Open
10_chapter 6.pdf420.21 kBAdobe PDFView/Open
11_annexures.pdf108.36 kBAdobe PDFView/Open
80_recommendation.pdf90.01 kBAdobe PDFView/Open


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