Allocating reactive power using artificial neural network

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...

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Main Authors:	Saypaserth P., Premrudeepreechacharn S.
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Online Access:	http://www.scopus.com/inward/record.url?eid=2-s2.0-79955876239&partnerID=40&md5=991d19e36c8ec8fc030b46b746e79732 http://cmuir.cmu.ac.th/handle/6653943832/1570
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Institution:	Chiang Mai University
Language:	English

id	th-cmuir.6653943832-1570
record_format	dspace
spelling	th-cmuir.6653943832-15702014-08-29T09:29:28Z Allocating reactive power using artificial neural network Saypaserth P. Premrudeepreechacharn S. 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. 2014-08-29T09:29:28Z 2014-08-29T09:29:28Z 2011 Conference Paper 9.78142E+12 10.1109/APPEEC.2011.5749101 84722 http://www.scopus.com/inward/record.url?eid=2-s2.0-79955876239&partnerID=40&md5=991d19e36c8ec8fc030b46b746e79732 http://cmuir.cmu.ac.th/handle/6653943832/1570 English
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
language	English
description	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.
format	Conference or Workshop Item
author	Saypaserth P. Premrudeepreechacharn S.
spellingShingle	Saypaserth P. Premrudeepreechacharn S. Allocating reactive power using artificial neural network
author_facet	Saypaserth P. Premrudeepreechacharn S.
author_sort	Saypaserth P.
title	Allocating reactive power using artificial neural network
title_short	Allocating reactive power using artificial neural network
title_full	Allocating reactive power using artificial neural network
title_fullStr	Allocating reactive power using artificial neural network
title_full_unstemmed	Allocating reactive power using artificial neural network
title_sort	allocating reactive power using artificial neural network
publishDate	2014
url	http://www.scopus.com/inward/record.url?eid=2-s2.0-79955876239&partnerID=40&md5=991d19e36c8ec8fc030b46b746e79732 http://cmuir.cmu.ac.th/handle/6653943832/1570
_version_	1681419695105769472

Allocating reactive power using artificial neural network

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