Optimal static var compensator placement for voltage stability improvement using particle swarm optimization technique
Electricity demand has grown rapidly every year these days. The growing demand gives the power system a pressure, but it can be solved by increasing more power and extending the line of the transmission. But, the use of this solution is opposed to some factors such as environmental and economic fact...
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my.uniten.dspace-274342023-12-07T16:40:52Z Optimal static var compensator placement for voltage stability improvement using particle swarm optimization technique Ahmad Munzir Mohd Shamsul Bahrin Electric power system stability Mathematical optimization Swarm intelligence Electricity demand has grown rapidly every year these days. The growing demand gives the power system a pressure, but it can be solved by increasing more power and extending the line of the transmission. But, the use of this solution is opposed to some factors such as environmental and economic factors. These factors have been considered for further research into the design of power networks that can deliver maximum capacity of transmission at minimum cost. The study of this project is regarding the optimization technique called Particle Swarm Optimization (PSO). this proposed optimization technique used to solve the problem of SVC installation. For this research, the IEEE 26 Bus Reliability Test (RTS) is used to test the proposed optimization technique efficiencies. 2023-06-19T01:01:48Z 2023-06-19T01:01:48Z 2018 Resource Types::text::Final Year Project https://irepository.uniten.edu.my/handle/123456789/27434 en_US application/pdf |
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Electric power system stability Mathematical optimization Swarm intelligence Ahmad Munzir Mohd Shamsul Bahrin Optimal static var compensator placement for voltage stability improvement using particle swarm optimization technique |
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Electricity demand has grown rapidly every year these days. The growing demand gives the power system a pressure, but it can be solved by increasing more power and extending the line of the transmission. But, the use of this solution is opposed to some factors such as environmental and economic factors. These factors have been considered for further research into the design of power networks that can deliver maximum capacity of transmission at minimum cost. The study of this project is regarding the optimization technique called Particle Swarm Optimization (PSO). this proposed optimization technique used to solve the problem of SVC installation. For this research, the IEEE 26 Bus Reliability Test (RTS) is used to test the proposed optimization technique efficiencies. |
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Resource Types::text::Final Year Project |
author |
Ahmad Munzir Mohd Shamsul Bahrin |
author_facet |
Ahmad Munzir Mohd Shamsul Bahrin |
author_sort |
Ahmad Munzir Mohd Shamsul Bahrin |
title |
Optimal static var compensator placement for voltage stability improvement using particle swarm optimization technique |
title_short |
Optimal static var compensator placement for voltage stability improvement using particle swarm optimization technique |
title_full |
Optimal static var compensator placement for voltage stability improvement using particle swarm optimization technique |
title_fullStr |
Optimal static var compensator placement for voltage stability improvement using particle swarm optimization technique |
title_full_unstemmed |
Optimal static var compensator placement for voltage stability improvement using particle swarm optimization technique |
title_sort |
optimal static var compensator placement for voltage stability improvement using particle swarm optimization technique |
publishDate |
2023 |
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1806426544201007104 |
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13.214268 |