Optimal location of distributed generation using intelligent optimization

This paper proposes a method for optimal placement of DG based on intelligent optimization technique namely particle swarm optimization (PSO). Electrical system loss is used as an index of the proper location and sizing considering the DG bus voltage limit. The results show a significant reduction i...

Full description

Saved in:

Bibliographic Details
Main Author:	Haidar, Ahmed M. A.
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2011
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/25571/1/Optimal%20location%20of%20distributed%20generation%20using%20intelligent%20optimization.pdf http://umpir.ump.edu.my/id/eprint/25571/ https://doi.org/10.1109/ICTAI.2011.143
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Universiti Malaysia Pahang
Language:	English

id	my.ump.umpir.25571
record_format	eprints
spelling	my.ump.umpir.255712019-12-13T02:21:15Z http://umpir.ump.edu.my/id/eprint/25571/ Optimal location of distributed generation using intelligent optimization Haidar, Ahmed M. A. TK Electrical engineering. Electronics Nuclear engineering This paper proposes a method for optimal placement of DG based on intelligent optimization technique namely particle swarm optimization (PSO). Electrical system loss is used as an index of the proper location and sizing considering the DG bus voltage limit. The results show a significant reduction in power losses and considerable voltage improvement of the IEEE-30 bus test system. IEEE 2011 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25571/1/Optimal%20location%20of%20distributed%20generation%20using%20intelligent%20optimization.pdf Haidar, Ahmed M. A. (2011) Optimal location of distributed generation using intelligent optimization. In: 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2011), 7-9 November 2011 , Boca Raton, FL, United States. pp. 891-893. (6103434). ISSN 1082-3409 https://doi.org/10.1109/ICTAI.2011.143
institution	Universiti Malaysia Pahang
building	UMP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang
content_source	UMP Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Haidar, Ahmed M. A. Optimal location of distributed generation using intelligent optimization
description	This paper proposes a method for optimal placement of DG based on intelligent optimization technique namely particle swarm optimization (PSO). Electrical system loss is used as an index of the proper location and sizing considering the DG bus voltage limit. The results show a significant reduction in power losses and considerable voltage improvement of the IEEE-30 bus test system.
format	Conference or Workshop Item
author	Haidar, Ahmed M. A.
author_facet	Haidar, Ahmed M. A.
author_sort	Haidar, Ahmed M. A.
title	Optimal location of distributed generation using intelligent optimization
title_short	Optimal location of distributed generation using intelligent optimization
title_full	Optimal location of distributed generation using intelligent optimization
title_fullStr	Optimal location of distributed generation using intelligent optimization
title_full_unstemmed	Optimal location of distributed generation using intelligent optimization
title_sort	optimal location of distributed generation using intelligent optimization
publisher	IEEE
publishDate	2011
url	http://umpir.ump.edu.my/id/eprint/25571/1/Optimal%20location%20of%20distributed%20generation%20using%20intelligent%20optimization.pdf http://umpir.ump.edu.my/id/eprint/25571/ https://doi.org/10.1109/ICTAI.2011.143
_version_	1654960219140128768

Optimal location of distributed generation using intelligent optimization

Similar Items