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...

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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/ http://umpir.ump.edu.my/id/eprint/25571/ http://umpir.ump.edu.my/id/eprint/25571/1/Optimal%20location%20of%20distributed%20generation%20using%20intelligent%20optimization.pdf

id	ump-25571
recordtype	eprints
spelling	ump-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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
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/ http://umpir.ump.edu.my/id/eprint/25571/ http://umpir.ump.edu.my/id/eprint/25571/1/Optimal%20location%20of%20distributed%20generation%20using%20intelligent%20optimization.pdf
first_indexed	2023-09-18T22:39:20Z
last_indexed	2023-09-18T22:39:20Z
_version_	1777416809229582336

Optimal location of distributed generation using intelligent optimization

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