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
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Abstract
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.
| Item Type: | Conference or Workshop Item (Lecture) |
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| Additional Information: | Indexed by Scopus, WOS |
| Uncontrolled Keywords: | Embedded generation (EG); Load flow study; Optimal allocation; Real coded genetic algorithm (RCGA) |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 12 Feb 2020 06:15 |
| Last Modified: | 12 Feb 2020 06:15 |
| URI: | http://umpir.ump.edu.my/id/eprint/26235 |
| Download Statistic: | View Download Statistics |
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