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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/25571/1/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
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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
score 13.214268

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