Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/513294
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DC FieldValueLanguage
dc.coverage.spatialElectrical Engineering
dc.date.accessioned2023-09-22T09:21:35Z-
dc.date.available2023-09-22T09:21:35Z-
dc.identifier.urihttp://hdl.handle.net/10603/513294-
dc.description.abstractIn the recent past, in the field of electricity markets, the utilization of renewable newlineenergy is developing due to governmental subsidies. This greatly influences the newlineoperation planning of power plants, focusing especially when tending the unit newlinecommitment problem (UCP) with its high volatile generation. In electric power newlinesystem operations, the UCP is crucial. To meet the need, subject to equipment, and newlinephysical constraints it looks for an operating plan for a system of generating units newlineover a multi-period finite horizon. A photovoltaic cell, battery storage system with newlinemicro grid system of an optimal day-ahead scheduling model, and a wind turbine is newlineutilized. To represent little properties in the low voltage distribution network of micro newlinegrids the power flow constraints are made known in the scheduling model. To newlineenhance the electric power system operation with a key is BESS in the electric grid newlinewith a high point of wind penetration. By utilizing multiple optimization functions the newlineobjective of the problem will be solved. The constraints will be intended to bring newlineabout the solution of the problem by the utilization of a Squirrel Search Algorithm newline(SSA) such as spinning reserve, power balance, and minimum up and downtime, real newlinepower operating limits, emission, etc. The efficiency of the solution will be enhanced newlineand the solution complexity of the problem will be shortened. newline newline
dc.format.extentXII,181
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAn Optimal Solution to Unit Commitment Problem in Distributed Generation System
dc.title.alternative
dc.creator.researcherPooja Sharma
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.noteUnit commitment problem (UCP), Battery Energy Storage System (BESS), Squirrel Search Algorithm (SSA), Particle swarm optimization (PSO)
dc.contributor.guideDhiman, Rakesh
dc.publisher.placeHisar
dc.publisher.universityOM Sterling Global University
dc.publisher.institutionElectrical Engineering
dc.date.registered2019
dc.date.completed2022
dc.date.awarded2023
dc.format.dimensions28
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Electrical Engineering

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01_title.pdfAttached File147.75 kBAdobe PDFView/Open
02_preliminary pages.pdf259.43 kBAdobe PDFView/Open
03_table of contents.pdf198.85 kBAdobe PDFView/Open
04_abstract.pdf143.96 kBAdobe PDFView/Open
05_chapter 1.pdf1.65 MBAdobe PDFView/Open
06_chapter 2.pdf516.89 kBAdobe PDFView/Open
07_chapter 3.pdf913.24 kBAdobe PDFView/Open
08_chapter 4.pdf1.46 MBAdobe PDFView/Open
10_bibliography.pdf426.81 kBAdobe PDFView/Open
11_appendices.pdf328.38 kBAdobe PDFView/Open
12_publications.pdf3.67 MBAdobe PDFView/Open
80_recommendation.pdf142.77 kBAdobe PDFView/Open


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