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EG allocation and sizing using real coded genetic algorithm method to minimize losses and improve voltage profile

The 2nd International Conference on Engineering and ICT 2010 (ICEI 2010) organized by Universiti Teknikal Malaysia Melaka (UTeM), 18th - 20th February 2010 at Holiday Inn, Melaka, Malaysia.

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Bibliographic Details
Main Authors: Mohd Herwan, Sulaiman, Omar, Aliman, Siti Rafidah, Abdul Rahim, Mohd Rafi, Adzman
Other Authors: mherwan@unimap.edu.my
Format: Working Paper
Language:English
Published: Universiti Teknikal Malaysia Melaka (UTeM) 2011
Subjects:
Embedded generation (EG)
Load flow
Optimal allocation
Real coded genetic algorithm (RCGA)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/14032
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spelling my.unimap-140322011-10-05T13:06:35Z EG allocation and sizing using real coded genetic algorithm method to minimize losses and improve voltage profile Mohd Herwan, Sulaiman Omar, Aliman Siti Rafidah, Abdul Rahim Mohd Rafi, Adzman mherwan@unimap.edu.my rafidah@unimap.edu.my mohdrafi@unimap.edu.my omaraliman@ieee.org Embedded generation (EG) Load flow Optimal allocation Real coded genetic algorithm (RCGA) The 2nd International Conference on Engineering and ICT 2010 (ICEI 2010) organized by Universiti Teknikal Malaysia Melaka (UTeM), 18th - 20th February 2010 at Holiday Inn, Melaka, Malaysia. This paper propose a new methodology using Real Coded Genetic Algorithm (RCGA)for the optimal allocation and sizing of Embedded Generation (EG) to minimize the total power losses and to improve voltage profile in the radial distribution networks. RCGA is a method that uses continuous floating numbers as representation which is different from conventional one that used as solution tool, which can determine the optimal location and size of EG in radial system simultaneously. This method is developed in MALTAB. The effectiveness of this method is demonstrates using IEEE-69 bus radial distribution system. 2011-10-05T13:06:34Z 2011-10-05T13:06:34Z 2010-02-18 Working Paper 978-983-2948-73-5 http://hdl.handle.net/123456789/14032 en Proceedings of the 2nd International Conference on Engineering and ICT (ICEI 2010) Universiti Teknikal Malaysia Melaka (UTeM)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Embedded generation (EG)
Load flow
Optimal allocation
Real coded genetic algorithm (RCGA)
spellingShingle Embedded generation (EG)
Load flow
Optimal allocation
Real coded genetic algorithm (RCGA)
Mohd Herwan, Sulaiman
Omar, Aliman
Siti Rafidah, Abdul Rahim
Mohd Rafi, Adzman
EG allocation and sizing using real coded genetic algorithm method to minimize losses and improve voltage profile
description The 2nd International Conference on Engineering and ICT 2010 (ICEI 2010) organized by Universiti Teknikal Malaysia Melaka (UTeM), 18th - 20th February 2010 at Holiday Inn, Melaka, Malaysia.
author2 mherwan@unimap.edu.my
author_facet mherwan@unimap.edu.my
Mohd Herwan, Sulaiman
Omar, Aliman
Siti Rafidah, Abdul Rahim
Mohd Rafi, Adzman
format Working Paper
author Mohd Herwan, Sulaiman
Omar, Aliman
Siti Rafidah, Abdul Rahim
Mohd Rafi, Adzman
author_sort Mohd Herwan, Sulaiman
title EG allocation and sizing using real coded genetic algorithm method to minimize losses and improve voltage profile
title_short EG allocation and sizing using real coded genetic algorithm method to minimize losses and improve voltage profile
title_full EG allocation and sizing using real coded genetic algorithm method to minimize losses and improve voltage profile
title_fullStr EG allocation and sizing using real coded genetic algorithm method to minimize losses and improve voltage profile
title_full_unstemmed EG allocation and sizing using real coded genetic algorithm method to minimize losses and improve voltage profile
title_sort eg allocation and sizing using real coded genetic algorithm method to minimize losses and improve voltage profile
publisher Universiti Teknikal Malaysia Melaka (UTeM)
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/14032
_version_ 1643790552490049536
score 13.222552

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