A Distribution Network Reconfiguration Algorithm Based on Hopfield Neural Network

On the base of Hopfield neural network, the minimum of feeder looses is treated as the target function. Because the distribution network is radical, we put forward a method for deciding each node's in-degree by using Hopfield neural network. According to each node's in-degree, it can be ea...

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Bibliographic Details

Published in:	2008 Fourth International Conference on Natural Computation Vol. 3; pp. 9 - 13
Main Authors:	Weixin Gao, Nan Tang, Xiangyang Mu
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2008
Subjects:	Artificial intelligence Computer networks Distributed computing Distribution Power Network Equations Hopfield Neural Network Hopfield neural networks Mathematical model Power supplies Power system reliability Reconfiguration Switches Voltage
ISBN:	9780769533049, 0769533043
ISSN:	2157-9555
Online Access:	Get full text
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