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DC Field | Value | Language |
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dc.contributor.author | Modi, Prachi Jayeshkumar | - |
dc.date.accessioned | 2022-01-25T10:27:45Z | - |
dc.date.available | 2022-01-25T10:27:45Z | - |
dc.date.issued | 2021-06-01 | - |
dc.identifier.uri | http://10.1.7.192:80/jspui/handle/123456789/10548 | - |
dc.description.abstract | During 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 System | en_US |
dc.publisher | Institute of Technology | en_US |
dc.relation.ispartofseries | 19MEEE16; | - |
dc.subject | Electrical 2019 | en_US |
dc.subject | Project Report 2019 | en_US |
dc.subject | Electrical Project Report | en_US |
dc.subject | EC (ES) | en_US |
dc.subject | 19MEE | en_US |
dc.subject | 19MEEE | en_US |
dc.subject | 19MEEE16 | en_US |
dc.subject | EPS | en_US |
dc.subject | EPS 2019 | en_US |
dc.subject | EE (EPS) | en_US |
dc.subject | Electrical Power Systems | en_US |
dc.title | Congestion Management in Power System using Soft Computing Technique | en_US |
dc.type | Dissertation | en_US |
Appears in Collections: | Dissertation, EE (EPS) |
Files in This Item:
File | Description | Size | Format | |
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19MEEE16.pdf | 19MEEE16 | 1.18 MB | Adobe PDF | ![]() View/Open |
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