Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/49918
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dc.contributor.authorP. Saypaserthen_US
dc.contributor.authorS. Premrudeepreechacharnen_US
dc.date.accessioned2018-09-04T04:20:19Z-
dc.date.available2018-09-04T04:20:19Z-
dc.date.issued2011-05-16en_US
dc.identifier.issn21574847en_US
dc.identifier.issn21574839en_US
dc.identifier.other2-s2.0-79955876239en_US
dc.identifier.other10.1109/APPEEC.2011.5749101en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79955876239&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/49918-
dc.description.abstractThis paper presents a procedure for allocating reactive power using artificial neural network (ANN). Artificial neural network is trained based on data from Y-bus matrix. Training and testing of this ANN network have been done with five bus test system. Back propagation learning has been utilized to train the ANN. A numerical example on allocating reactive power using a feed forward back propagation algorithm has been provided. The simulation results have been compared with Y-bus matrix method. The simulation results have illustrated that ANN is a good accuracy with simplicity in calculation. © 2011 IEEE.en_US
dc.subjectEnergyen_US
dc.titleAllocating reactive power using artificial neural networken_US
dc.typeConference Proceedingen_US
article.title.sourcetitleAsia-Pacific Power and Energy Engineering Conference, APPEECen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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