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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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2011
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| Online Access: | http://umpir.ump.edu.my/id/eprint/25571/1/Optimal%20location%20of%20distributed%20generation%20using%20intelligent%20optimization.pdf |
| _version_ | 1825812817879498752 |
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| author | Haidar, Ahmed M. A. |
| author_facet | Haidar, Ahmed M. A. |
| author_sort | Haidar, Ahmed M. A. |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:34:46Z |
| format | Conference or Workshop Item |
| id | UMPir25571 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:34:46Z |
| publishDate | 2011 |
| publisher | IEEE |
| record_format | dspace |
| spelling | UMPir255712019-12-13T02:21:15Z 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 (Published) https://doi.org/10.1109/ICTAI.2011.143 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Haidar, Ahmed M. A. Optimal location of distributed generation using intelligent optimization |
| title | 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_short | Optimal location of distributed generation using intelligent optimization |
| title_sort | optimal location of distributed generation using intelligent optimization |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/25571/1/Optimal%20location%20of%20distributed%20generation%20using%20intelligent%20optimization.pdf |
| work_keys_str_mv | AT haidarahmedma optimallocationofdistributedgenerationusingintelligentoptimization |