Particle swarm optimization approach for optimal distributed generation allocation in distribution system

International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Arau, Perlis, Malaysia.

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Main Authors: L. Y., Wong, Siti Rafidah, Abdul Rahim, Mohd Herwan, Sulaiman, Omar, Aliman
Other Authors: lyeyee_86@yahoo.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21216
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spelling my.unimap-212162012-10-05T03:06:37Z Particle swarm optimization approach for optimal distributed generation allocation in distribution system L. Y., Wong Siti Rafidah, Abdul Rahim Mohd Herwan, Sulaiman Omar, Aliman lyeyee_86@yahoo.com rafidah@unimap.edu.my mherwan@unimap.edu.my omaraliman@ieee.org Particle swarm optimization (PSO) Distributed generation (DG) Distribution system International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Arau, Perlis, Malaysia. In this paper, a particle swarm optimization approach is used for the placement of distributed generation (DG) in the distribution system. DG installation in the distribution system is very useful in reducing the line losses, as well as improving the voltage profiles. The proposed method combines particle swarm optimization and the Newton-Raphson load flow method to determine the location and size of the DG. The objective function to be minimized in this problem is the total power losses of the system. The proposed approach has been tested on IEEE 69-bus distribution test system and the program was simulated using MATLAB software. 2012-10-05T03:06:37Z 2012-10-05T03:06:37Z 2010-10-16 Working Paper 978-967-5760-03-7 http://hdl.handle.net/123456789/21216 en Proceedings of the International Postgraduate Conference on Engineering (IPCE 2010) Universiti Malaysia Perlis (UniMAP) Centre for Graduate Studies
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Particle swarm optimization (PSO)
Distributed generation (DG)
Distribution system
spellingShingle Particle swarm optimization (PSO)
Distributed generation (DG)
Distribution system
L. Y., Wong
Siti Rafidah, Abdul Rahim
Mohd Herwan, Sulaiman
Omar, Aliman
Particle swarm optimization approach for optimal distributed generation allocation in distribution system
description International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Arau, Perlis, Malaysia.
author2 lyeyee_86@yahoo.com
author_facet lyeyee_86@yahoo.com
L. Y., Wong
Siti Rafidah, Abdul Rahim
Mohd Herwan, Sulaiman
Omar, Aliman
format Working Paper
author L. Y., Wong
Siti Rafidah, Abdul Rahim
Mohd Herwan, Sulaiman
Omar, Aliman
author_sort L. Y., Wong
title Particle swarm optimization approach for optimal distributed generation allocation in distribution system
title_short Particle swarm optimization approach for optimal distributed generation allocation in distribution system
title_full Particle swarm optimization approach for optimal distributed generation allocation in distribution system
title_fullStr Particle swarm optimization approach for optimal distributed generation allocation in distribution system
title_full_unstemmed Particle swarm optimization approach for optimal distributed generation allocation in distribution system
title_sort particle swarm optimization approach for optimal distributed generation allocation in distribution system
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21216
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score 13.214268