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A DNR and DG sizing simultaneously by using EPSO

Distribution network planning and operation require the identification of the best topological configuration that is able to fulfill the power demand with minimum power loss. This paper presents an efficient hybridization of both Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) me...

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Main Authors:	Sulaima, Mohamad Fani, Shamsudin, Nur Hazahsha, Jaafar, Hazriq Izzuan, Mohd Dahalan, Wardiah, Mokhlis, Hazlie
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utem.edu.my/id/eprint/12299/1/Published_ISMS_14-A_DNR_and_DG_Sizing_Simultaneously_by_Using_EPSO_Fani.pdf http://eprints.utem.edu.my/id/eprint/12299/ http://isms2014.info/
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id	my.utem.eprints.12299
record_format	eprints
spelling	my.utem.eprints.122992023-05-25T12:53:54Z http://eprints.utem.edu.my/id/eprint/12299/ A DNR and DG sizing simultaneously by using EPSO Sulaima, Mohamad Fani Shamsudin, Nur Hazahsha Jaafar, Hazriq Izzuan Mohd Dahalan, Wardiah Mokhlis, Hazlie TK Electrical engineering. Electronics Nuclear engineering Distribution network planning and operation require the identification of the best topological configuration that is able to fulfill the power demand with minimum power loss. This paper presents an efficient hybridization of both Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) methods which is called the Evolutionary Particle Swarm Optimization (EPSO). The proposed method is used to find the optimal network reconfiguration and optimal size of Distribution Generation (DG) simultaneously. The main objective of this paper is to gain the lowest result of real power losses in the distribution network while improve the computational time as well as satisfying other operating constraints. A comprehensive performance analysis is carried out on IEEE 33 bus distribution system. The proposed method is applied and its impact on the network reconfiguration for real power loss is investigated. The results are presented and compared with the strategy of separated DG sizing and network reconfiguration. 2014-01-29 Conference or Workshop Item PeerReviewed text en http://eprints.utem.edu.my/id/eprint/12299/1/Published_ISMS_14-A_DNR_and_DG_Sizing_Simultaneously_by_Using_EPSO_Fani.pdf Sulaima, Mohamad Fani and Shamsudin, Nur Hazahsha and Jaafar, Hazriq Izzuan and Mohd Dahalan, Wardiah and Mokhlis, Hazlie (2014) A DNR and DG sizing simultaneously by using EPSO. In: 2014 Fifth International Conference on Intelligent Systems Modelling and Simulation, 27 Jan - 29 Jan 2014, Sheraton Hotel Langkawi Beach Resort, Langkawi, Malaysia. http://isms2014.info/
institution	Universiti Teknikal Malaysia Melaka
building	UTEM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknikal Malaysia Melaka
content_source	UTEM Institutional Repository
url_provider	http://eprints.utem.edu.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Sulaima, Mohamad Fani Shamsudin, Nur Hazahsha Jaafar, Hazriq Izzuan Mohd Dahalan, Wardiah Mokhlis, Hazlie A DNR and DG sizing simultaneously by using EPSO
description	Distribution network planning and operation require the identification of the best topological configuration that is able to fulfill the power demand with minimum power loss. This paper presents an efficient hybridization of both Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) methods which is called the Evolutionary Particle Swarm Optimization (EPSO). The proposed method is used to find the optimal network reconfiguration and optimal size of Distribution Generation (DG) simultaneously. The main objective of this paper is to gain the lowest result of real power losses in the distribution network while improve the computational time as well as satisfying other operating constraints. A comprehensive performance analysis is carried out on IEEE 33 bus distribution system. The proposed method is applied and its impact on the network reconfiguration for real power loss is investigated. The results are presented and compared with the strategy of separated DG sizing and network reconfiguration.
format	Conference or Workshop Item
author	Sulaima, Mohamad Fani Shamsudin, Nur Hazahsha Jaafar, Hazriq Izzuan Mohd Dahalan, Wardiah Mokhlis, Hazlie
author_facet	Sulaima, Mohamad Fani Shamsudin, Nur Hazahsha Jaafar, Hazriq Izzuan Mohd Dahalan, Wardiah Mokhlis, Hazlie
author_sort	Sulaima, Mohamad Fani
title	A DNR and DG sizing simultaneously by using EPSO
title_short	A DNR and DG sizing simultaneously by using EPSO
title_full	A DNR and DG sizing simultaneously by using EPSO
title_fullStr	A DNR and DG sizing simultaneously by using EPSO
title_full_unstemmed	A DNR and DG sizing simultaneously by using EPSO
title_sort	dnr and dg sizing simultaneously by using epso
publishDate	2014
url	http://eprints.utem.edu.my/id/eprint/12299/1/Published_ISMS_14-A_DNR_and_DG_Sizing_Simultaneously_by_Using_EPSO_Fani.pdf http://eprints.utem.edu.my/id/eprint/12299/ http://isms2014.info/
_version_	1768012335449899008
score	13.251813

A DNR and DG sizing simultaneously by using EPSO

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