An optimal load shedding approach for transmission networks using Particle Swarm Optimization (PSO) technique / Mohd Farid Mohd Rawi
This thesis presents an optimal load shedding approach for transmission networks using Particle Swarm Optimization (PSO). The study involves the development of PSO algorithm and engine to address load shedding in loss minimization. Electrical power transmission network typically connects power plant...
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2009
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Online Access: | https://ir.uitm.edu.my/id/eprint/78059/1/78059.pdf |
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my-uitm-ir.780592023-07-24T08:03:14Z An optimal load shedding approach for transmission networks using Particle Swarm Optimization (PSO) technique / Mohd Farid Mohd Rawi 2009 Mohd Rawi, Mohd Farid Electric power distribution. Electric power transmission This thesis presents an optimal load shedding approach for transmission networks using Particle Swarm Optimization (PSO). The study involves the development of PSO algorithm and engine to address load shedding in loss minimization. Electrical power transmission network typically connects power plants to multiple substations near a populated area. Electrical power transmission system interconnects generators and loads and generally provides multiple paths among them. Load shedding is one of the challenging problems in deregulated power systems. By employing the PSO, it is estimated to maintain the system, to minimize the sum of curtailed load and also to minimize the system losses. The proposed method is tested on transmission network IEEE 30-bus system for more practical applications. 2009 Thesis https://ir.uitm.edu.my/id/eprint/78059/ https://ir.uitm.edu.my/id/eprint/78059/1/78059.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Musirin, Ismail |
institution |
Universiti Teknologi MARA |
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UiTM Institutional Repository |
language |
English |
advisor |
Musirin, Ismail |
topic |
Electric power distribution Electric power transmission |
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Electric power distribution Electric power transmission Mohd Rawi, Mohd Farid An optimal load shedding approach for transmission networks using Particle Swarm Optimization (PSO) technique / Mohd Farid Mohd Rawi |
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This thesis presents an optimal load shedding approach for transmission networks using Particle Swarm Optimization (PSO). The study involves the development of PSO algorithm and engine to address load shedding in loss minimization. Electrical power transmission network typically connects power plants to multiple substations near a populated area. Electrical power transmission system interconnects generators and loads and generally provides multiple paths among them. Load shedding is one of the challenging problems in deregulated power systems. By employing the PSO, it is estimated to maintain the system, to minimize the sum of curtailed load and also to minimize the system losses. The proposed method is tested on transmission network IEEE 30-bus system for more practical applications. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Mohd Rawi, Mohd Farid |
author_facet |
Mohd Rawi, Mohd Farid |
author_sort |
Mohd Rawi, Mohd Farid |
title |
An optimal load shedding approach for transmission networks using Particle Swarm Optimization (PSO) technique / Mohd Farid Mohd Rawi |
title_short |
An optimal load shedding approach for transmission networks using Particle Swarm Optimization (PSO) technique / Mohd Farid Mohd Rawi |
title_full |
An optimal load shedding approach for transmission networks using Particle Swarm Optimization (PSO) technique / Mohd Farid Mohd Rawi |
title_fullStr |
An optimal load shedding approach for transmission networks using Particle Swarm Optimization (PSO) technique / Mohd Farid Mohd Rawi |
title_full_unstemmed |
An optimal load shedding approach for transmission networks using Particle Swarm Optimization (PSO) technique / Mohd Farid Mohd Rawi |
title_sort |
optimal load shedding approach for transmission networks using particle swarm optimization (pso) technique / mohd farid mohd rawi |
granting_institution |
Universiti Teknologi MARA (UiTM) |
granting_department |
Faculty of Electrical Engineering |
publishDate |
2009 |
url |
https://ir.uitm.edu.my/id/eprint/78059/1/78059.pdf |
_version_ |
1783736204073631744 |