Study of optimal EG placement in radial distribution system using real coded genetic algorithm

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...

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Main Authors: M. H., Sulaiman, Omar, Aliman
Format: Conference or Workshop Item
Language:English
Published: AIP Publishing 2011
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access: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
id ump-26235
recordtype eprints
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 https://doi.org/10.1063/1.3592444
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
M. H., Sulaiman
Omar, Aliman
Study of optimal EG placement in radial distribution system using real coded genetic algorithm
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.
format Conference or Workshop Item
author M. H., Sulaiman
Omar, Aliman
author_facet M. H., Sulaiman
Omar, Aliman
author_sort M. H., Sulaiman
title 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_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_sort study of optimal eg placement in radial distribution system using real coded genetic algorithm
publisher AIP Publishing
publishDate 2011
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
first_indexed 2023-09-18T22:40:44Z
last_indexed 2023-09-18T22:40:44Z
_version_ 1777416897216643072

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