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Voltage stability enhancement using neural network
, M. Rathinakumar
Published in Research India Publications
2014
Volume: 9
   
Issue: 23
Pages: 23171 - 23182
Abstract
In this paper the static voltage stability index has been identified by minimum singular value of Jacobian matrix of the power system. It is very difficult task to identify the system security in power system by the magnitude of voltage stability (VS) index. When we are taking account of reactive power generation limits it is very difficult to predict stability index at voltage collapse points. Here a quick method is used to calculate the minimum singular value (MSV) and the corresponding left and right vectors are presented. This developed algorithm is very useful in online because it required small amount of computation time. For different patterns of load and generation are increases, to determine voltage collapse point. For solving the maximum loading problem an optimal power flow approach was used with these points the minimum singular value is calculated and then used for training and testing the Neural Network(NN). © Research India Publications.
About the journal
JournalInternational Journal of Applied Engineering Research
PublisherResearch India Publications
ISSN09734562