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dc.contributor.authorL., Y. Wong-
dc.contributor.authorSiti Rafidah, Abdul Rahim-
dc.contributor.authorMohd Herwan, Sulaiman-
dc.contributor.authorAliman, Omar-
dc.date.accessioned2011-01-09T04:41:23Z-
dc.date.available2011-01-09T04:41:23Z-
dc.date.issued2010-06-23-
dc.identifier.citationp. 159-163en_US
dc.identifier.isbn978-1-4244-7127-0-
dc.identifier.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5559168-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/10442-
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractThis paper presents a particle swarm optimization approach for the placement of distributed generation (DG) in the distribution system. DG installation in the distribution system is very useful in reducing the line losses, as well as improving the voltage profiles. The proposed method combines particle swarm optimization and the Newton-Raphson load flow method to determine the location and size of the DG. The objective function to be minimized in this problem is the total power losses of the system. The proposed approach has been tested on IEEE 69-bus distribution test system and the program was simulated using MATLAB software. Test results show the effectiveness of the developed algorithm.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the 4th International Power Engineering and Optimization Conference (PEOCO) 2010en_US
dc.subjectDistributed generationen_US
dc.subjectLoss minimizationen_US
dc.subjectParticle swarm optimzationen_US
dc.titleDistributed generation installation using particle swarm optimizationen_US
dc.typeWorking Paperen_US
dc.contributor.urllyeyee_86@yahoo.comen_US
dc.contributor.urlrafidah@unimap.edu.myen_US
dc.contributor.urlmherwan@unimap.edu.myen_US
dc.contributor.urlomaraliman@ieee.orgen_US
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