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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Main Author: Mohd Rawi, Mohd Farid
Format: Thesis
Language:English
Published: 2009
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/78059/1/78059.pdf
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spelling 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
collection UiTM Institutional Repository
language English
advisor Musirin, Ismail
topic Electric power distribution
Electric power transmission
spellingShingle 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
description 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
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