Please use this identifier to cite or link to this item:
http://10.1.7.192:80/jspui/handle/123456789/10548
Title: | Congestion Management in Power System using Soft Computing Technique |
Authors: | Modi, Prachi Jayeshkumar |
Keywords: | Electrical 2019 Project Report 2019 Electrical Project Report EC (ES) 19MEE 19MEEE 19MEEE16 EPS EPS 2019 EE (EPS) Electrical Power Systems |
Issue Date: | 1-Jun-2021 |
Publisher: | Institute of Technology |
Series/Report no.: | 19MEEE16; |
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 |
URI: | http://10.1.7.192:80/jspui/handle/123456789/10548 |
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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