Paper Details: Downloads: 590
Serial Number: P1110804006
Title: Enhancement of Voltage Stability in Radial Distribution System Using Artificial Neural Networks
Authors: V. Ganesh and S. Sivanagaraju and Ch.SaiBabu
Abstract: Network reconfiguration of distribution system is an operation in configuration management that determines the switching operations to enhance the voltage stability. Network reconfiguration for time varying loads is complex and extremely non-linear optimization problem, which can be effectively solved by artificial neural networks [ANNs], as ANNs are capable of learning a tremendous verity of pattern mapping relationships without having a priori knowledge of mathematical function. In this paper, a generalized ANN model for on-line enhancement of fast voltage stability index of radial distribution system under varying load conditions is proposed. The training sets for the ANN are carefully selected to cover the entire range of input space. The proposed ANN is trained using Levenberg-Marquardt Back Propagation algorithm and tested by applying arbitrary input data generated from Daily load curves(DLCs) for the 16 bus test system.
Keywords: Load flows, Network reconfiguration, fast voltage stability index, Artificial neural networks
Journal/Conference: International Journal of Automatic Control and System Engineering
Volume: 8
Issue: 1
Submission Date: 2/1/2008 12:00:00 AM
Review Date: 5/1/2008 12:00:00 AM
Publishing Date: 7/1/2008 12:00:00 AM
Article Downloads: 590
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