Network reconfiguration and distributed generation sizing in radial distribution network using particle swarm optimization

The increasing energy demands are stressing the generation and transmission capabilities of the power system. The performance of distribution system becomes degraded due to increase of distribution losses and reduction in voltage magnitude. With addition of Distributed Generation (DG) in effective m...

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Main Author:	Aziz, Fazli
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/48889/24/FazliAzizMFKE2015.pdf
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id	my-utm-ep.48889
record_format	uketd_dc
spelling	my-utm-ep.488892020-07-05T06:41:29Z Network reconfiguration and distributed generation sizing in radial distribution network using particle swarm optimization 2015-01 Aziz, Fazli TK Electrical engineering. Electronics Nuclear engineering The increasing energy demands are stressing the generation and transmission capabilities of the power system. The performance of distribution system becomes degraded due to increase of distribution losses and reduction in voltage magnitude. With addition of Distributed Generation (DG) in effective manner in the distribution system, these problems can be solved to enhance the performance of the system. This project report presents an effective method based on Particle swarm Optimization (PSO) to solve the network reconfiguration problem in the presence of DG with an objective of minimizing real power loss as well as improving voltage profile in distribution network. PSO is used to simultaneously reconfigure and optimum value of DG size in a radial distribution network. A method based on PSO algorithm to determine the minimum configuration is presented and their impact on the network real power losses and voltage profiles are investigated. The method has been tested on IEEE 33-bus test systems to demonstrate the performance and effectiveness of the proposed method. The results show that the PSO algorithm for real power loss minimization and voltage profile improvement to be the most effective compare to other methods. 2015-01 Thesis http://eprints.utm.my/id/eprint/48889/ http://eprints.utm.my/id/eprint/48889/24/FazliAzizMFKE2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:86728 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Aziz, Fazli Network reconfiguration and distributed generation sizing in radial distribution network using particle swarm optimization
description	The increasing energy demands are stressing the generation and transmission capabilities of the power system. The performance of distribution system becomes degraded due to increase of distribution losses and reduction in voltage magnitude. With addition of Distributed Generation (DG) in effective manner in the distribution system, these problems can be solved to enhance the performance of the system. This project report presents an effective method based on Particle swarm Optimization (PSO) to solve the network reconfiguration problem in the presence of DG with an objective of minimizing real power loss as well as improving voltage profile in distribution network. PSO is used to simultaneously reconfigure and optimum value of DG size in a radial distribution network. A method based on PSO algorithm to determine the minimum configuration is presented and their impact on the network real power losses and voltage profiles are investigated. The method has been tested on IEEE 33-bus test systems to demonstrate the performance and effectiveness of the proposed method. The results show that the PSO algorithm for real power loss minimization and voltage profile improvement to be the most effective compare to other methods.
format	Thesis
qualification_level	Master's degree
author	Aziz, Fazli
author_facet	Aziz, Fazli
author_sort	Aziz, Fazli
title	Network reconfiguration and distributed generation sizing in radial distribution network using particle swarm optimization
title_short	Network reconfiguration and distributed generation sizing in radial distribution network using particle swarm optimization
title_full	Network reconfiguration and distributed generation sizing in radial distribution network using particle swarm optimization
title_fullStr	Network reconfiguration and distributed generation sizing in radial distribution network using particle swarm optimization
title_full_unstemmed	Network reconfiguration and distributed generation sizing in radial distribution network using particle swarm optimization
title_sort	network reconfiguration and distributed generation sizing in radial distribution network using particle swarm optimization
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2015
url	http://eprints.utm.my/id/eprint/48889/24/FazliAzizMFKE2015.pdf
_version_	1747817496504696832

Network reconfiguration and distributed generation sizing in radial distribution network using particle swarm optimization

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