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dc.contributor.authorMohd Herwan, Sulaiman, Dr.-
dc.contributor.authorMohd Wazir, Mustafa, Prof. Dr.-
dc.contributor.authorAzralmukmin, Azmi-
dc.contributor.authorOmar, Aliman-
dc.contributor.authorSiti Rafidah, Abdul Rahim-
dc.date.accessioned2013-07-09T03:30:41Z-
dc.date.available2013-07-09T03:30:41Z-
dc.date.issued2012-06-06-
dc.identifier.citationp. 84-89en_US
dc.identifier.isbn978-146730661-4-
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6230840-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/26522-
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractThis paper presents an application of Firefly Algorithm (FA) in determining the optimal location and size of Distributed Generation (DG) in distribution power networks. FA is a meta-heuristic algorithm which is inspired by the flashing behavior of fireflies. The primary purpose of firefly's flash is to act as a signal system to attract other fireflies. In this paper, IEEE 69-bus distribution test system is used to show the effectiveness of the FA. Comparison with other method is also given.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the International Power Engineering and Optimization Conference (PEOCO 2012)en_US
dc.subjectDistributed generationen_US
dc.subjectFirefly algorithmen_US
dc.subjectGenetic algorithmen_US
dc.titleOptimal allocation and sizing of distributed generation in distribution system via firefly algorithmen_US
dc.typeWorking Paperen_US
dc.contributor.urlherwan@ump.edu.myen_US
dc.contributor.urlwazir@fke.utm.myen_US
dc.contributor.urlazralmukmin@unimap.edu.myen_US
dc.contributor.urlomaraliman@ump.edu.myen_US
dc.contributor.urlrafidah@unimap.edu.myen_US
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