Study of optimal EG placement in radial distribution system using real coded genetic algorithm
This paper proposes a study of embedded generation (EG) placement in radial distribution system by utilizing real coded genetic algorithm (RCGA) technique. Several cases of EG models placements are studied in order to minimize the total power losses and to improve voltage profiles of the system. RCG...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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AIP Publishing
2011
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| Online Access: | http://umpir.ump.edu.my/id/eprint/26235/ http://umpir.ump.edu.my/id/eprint/26235/1/Study%20of%20optimal%20EG%20placement%20in%20radial%20distribution%20system%20using%20real%20coded%20genetic%20algorithm.pdf |
| _version_ | 1848822483109543936 |
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| author | M. H., Sulaiman Omar, Aliman |
| author_facet | M. H., Sulaiman Omar, Aliman |
| author_sort | M. H., Sulaiman |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This paper proposes a study of embedded generation (EG) placement in radial distribution system by utilizing real coded genetic algorithm (RCGA) technique. Several cases of EG models placements are studied in order to minimize the total power losses and to improve voltage profiles of the system. RCGA is a method that uses continuous floating numbers as representation which is different from conventional GA which is using binary numbers. The RCGA is used as a tool, which can determine the optimal location and size of EG in radial system concurrently. This method is developed in MATLAB. The IEEE‐69 bus system is utilized as a test case in this study. |
| first_indexed | 2025-11-15T02:41:57Z |
| format | Conference or Workshop Item |
| id | ump-26235 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:41:57Z |
| publishDate | 2011 |
| publisher | AIP Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-262352020-02-12T06:15:03Z http://umpir.ump.edu.my/id/eprint/26235/ Study of optimal EG placement in radial distribution system using real coded genetic algorithm M. H., Sulaiman Omar, Aliman TK Electrical engineering. Electronics Nuclear engineering This paper proposes a study of embedded generation (EG) placement in radial distribution system by utilizing real coded genetic algorithm (RCGA) technique. Several cases of EG models placements are studied in order to minimize the total power losses and to improve voltage profiles of the system. RCGA is a method that uses continuous floating numbers as representation which is different from conventional GA which is using binary numbers. The RCGA is used as a tool, which can determine the optimal location and size of EG in radial system concurrently. This method is developed in MATLAB. The IEEE‐69 bus system is utilized as a test case in this study. AIP Publishing 2011 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26235/1/Study%20of%20optimal%20EG%20placement%20in%20radial%20distribution%20system%20using%20real%20coded%20genetic%20algorithm.pdf M. H., Sulaiman and Omar, Aliman (2011) Study of optimal EG placement in radial distribution system using real coded genetic algorithm. In: 4th Global Conference on Power Control and Optimization , 2-4 December 2010 , Sarawak. pp. 65-69., 1337. ISSN 0094243X ISBN 978-073540893-7 (Published) https://doi.org/10.1063/1.3592444 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering M. H., Sulaiman Omar, Aliman Study of optimal EG placement in radial distribution system using real coded genetic algorithm |
| title | Study of optimal EG placement in radial distribution system using real coded genetic algorithm |
| title_full | Study of optimal EG placement in radial distribution system using real coded genetic algorithm |
| title_fullStr | Study of optimal EG placement in radial distribution system using real coded genetic algorithm |
| title_full_unstemmed | Study of optimal EG placement in radial distribution system using real coded genetic algorithm |
| title_short | Study of optimal EG placement in radial distribution system using real coded genetic algorithm |
| title_sort | study of optimal eg placement in radial distribution system using real coded genetic algorithm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/26235/ http://umpir.ump.edu.my/id/eprint/26235/ http://umpir.ump.edu.my/id/eprint/26235/1/Study%20of%20optimal%20EG%20placement%20in%20radial%20distribution%20system%20using%20real%20coded%20genetic%20algorithm.pdf |