Please use this identifier to cite or link to this item:
http://cmuir.cmu.ac.th/jspui/handle/6653943832/49918
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | P. Saypaserth | en_US |
dc.contributor.author | S. Premrudeepreechacharn | en_US |
dc.date.accessioned | 2018-09-04T04:20:19Z | - |
dc.date.available | 2018-09-04T04:20:19Z | - |
dc.date.issued | 2011-05-16 | en_US |
dc.identifier.issn | 21574847 | en_US |
dc.identifier.issn | 21574839 | en_US |
dc.identifier.other | 2-s2.0-79955876239 | en_US |
dc.identifier.other | 10.1109/APPEEC.2011.5749101 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79955876239&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/49918 | - |
dc.description.abstract | This 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.subject | Energy | en_US |
dc.title | Allocating reactive power using artificial neural network | en_US |
dc.type | Conference Proceeding | en_US |
article.title.sourcetitle | Asia-Pacific Power and Energy Engineering Conference, APPEEC | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
Appears in Collections: | CMUL: Journal Articles |
Files in This Item:
There are no files associated with this item.
Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.