Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/10548
Full metadata record
DC FieldValueLanguage
dc.contributor.authorModi, Prachi Jayeshkumar-
dc.date.accessioned2022-01-25T10:27:45Z-
dc.date.available2022-01-25T10:27:45Z-
dc.date.issued2021-06-01-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/10548-
dc.description.abstractDuring previous couple of eras, restructuring has handed all viable areas comprising the electrical energy deliver industry. Restructuring has carried out sizeable benefits such that energy is these days a commodity. Competitive marketplace additionally paved manner for several participants. This ends in congestion in transmission lines. Furthermore, transmission community in open gets right of entry to have bolstered the congestion problem. Therefore, energy device congestion control is maximum sizeable to the energy industry. A evaluate on one soft computing primarily based totally approach specifically Particle Swarm Optimization (PSO) is carried out on this report. Effect of Photovoltaic based Power Generation in Automatic Generation Control of the Interconnected Power Systemen_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries19MEEE16;-
dc.subjectElectrical 2019en_US
dc.subjectProject Report 2019en_US
dc.subjectElectrical Project Reporten_US
dc.subjectEC (ES)en_US
dc.subject19MEEen_US
dc.subject19MEEEen_US
dc.subject19MEEE16en_US
dc.subjectEPSen_US
dc.subjectEPS 2019en_US
dc.subjectEE (EPS)en_US
dc.subjectElectrical Power Systemsen_US
dc.titleCongestion Management in Power System using Soft Computing Techniqueen_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, EE (EPS)

Files in This Item:
File Description SizeFormat 
19MEEE16.pdf19MEEE161.18 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.