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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/14032

Title: EG allocation and sizing using real coded genetic algorithm method to minimize losses and improve voltage profile
Authors: Mohd Herwan, Sulaiman
Omar, Aliman
Siti Rafidah, Abdul Rahim
Mohd Rafi, Adzman
???metadata.dc.contributor.url???: mherwan@unimap.edu.my
rafidah@unimap.edu.my
mohdrafi@unimap.edu.my
omaraliman@ieee.org
Keywords: Embedded generation (EG);Load flow;Optimal allocation;Real coded genetic algorithm (RCGA)
Issue Date: 18-Feb-2010
Publisher: Universiti Teknikal Malaysia Melaka (UTeM)
Series/Report no.: Proceedings of the 2nd International Conference on Engineering and ICT (ICEI 2010)
Abstract: 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.
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.
URI: http://hdl.handle.net/123456789/14032
ISBN: 978-983-2948-73-5
Appears in Collections:Conference Papers

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