Allocation and sizing of distributed generation (DG) using Particle Swarm Optimization (PSO) technique for loss minimization / Junainah Pardi

Distributed generator (DG) is playing major role to supply energy resources and also for the development of co-generation plant which is absolutely very important in the electric power systems of the near future. The study involved in this project is to determine the optimal allocation and sizing of...

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Main Author: Pardi, Junainah
Format: Thesis
Language:English
Published: 2009
Online Access:https://ir.uitm.edu.my/id/eprint/85163/1/85163.pdf
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spelling my-uitm-ir.851632024-02-02T07:52:22Z Allocation and sizing of distributed generation (DG) using Particle Swarm Optimization (PSO) technique for loss minimization / Junainah Pardi 2009 Pardi, Junainah Distributed generator (DG) is playing major role to supply energy resources and also for the development of co-generation plant which is absolutely very important in the electric power systems of the near future. The study involved in this project is to determine the optimal allocation and sizing of the DG in order to minimize the losses in the system. Fast Voltage Stability Index (FVSI) technique has been used with the objective to identify the suitable location for the distributed generation in the networks. FVSI is used as the measuring instrument in predicting the sensitive lines which will be used to identify the location for DG installation. Once the locations are determined, Particle Swarm Optimization (PSO) technique is developed to identify the optimal size of the DG. It is an algorithm that represents the behavior of a flock of birds or a school of fish. 2009 Thesis https://ir.uitm.edu.my/id/eprint/85163/ https://ir.uitm.edu.my/id/eprint/85163/1/85163.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
description Distributed generator (DG) is playing major role to supply energy resources and also for the development of co-generation plant which is absolutely very important in the electric power systems of the near future. The study involved in this project is to determine the optimal allocation and sizing of the DG in order to minimize the losses in the system. Fast Voltage Stability Index (FVSI) technique has been used with the objective to identify the suitable location for the distributed generation in the networks. FVSI is used as the measuring instrument in predicting the sensitive lines which will be used to identify the location for DG installation. Once the locations are determined, Particle Swarm Optimization (PSO) technique is developed to identify the optimal size of the DG. It is an algorithm that represents the behavior of a flock of birds or a school of fish.
format Thesis
qualification_level Bachelor degree
author Pardi, Junainah
spellingShingle Pardi, Junainah
Allocation and sizing of distributed generation (DG) using Particle Swarm Optimization (PSO) technique for loss minimization / Junainah Pardi
author_facet Pardi, Junainah
author_sort Pardi, Junainah
title Allocation and sizing of distributed generation (DG) using Particle Swarm Optimization (PSO) technique for loss minimization / Junainah Pardi
title_short Allocation and sizing of distributed generation (DG) using Particle Swarm Optimization (PSO) technique for loss minimization / Junainah Pardi
title_full Allocation and sizing of distributed generation (DG) using Particle Swarm Optimization (PSO) technique for loss minimization / Junainah Pardi
title_fullStr Allocation and sizing of distributed generation (DG) using Particle Swarm Optimization (PSO) technique for loss minimization / Junainah Pardi
title_full_unstemmed Allocation and sizing of distributed generation (DG) using Particle Swarm Optimization (PSO) technique for loss minimization / Junainah Pardi
title_sort allocation and sizing of distributed generation (dg) using particle swarm optimization (pso) technique for loss minimization / junainah pardi
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2009
url https://ir.uitm.edu.my/id/eprint/85163/1/85163.pdf
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