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Enhancement of
Voltage Stability in Radial Distribution System
Using Artificial Neural Networks
V. Ganesh1,
S. Sivanagaraju2, Ch.SaiBabu2
1 EEE Department, JNTU College of
Engineering, pulivendula.Kadapa, Andhra Pradesh, India,
2 EEE Department r,
JNTU College of
Engineering, Anantapur Andhra Pradesh, India.
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
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Biographies:
BibTex @ARTICLE{P1110804006, AUTHOR = {V. Ganesh and S. Sivanagaraju and Ch.SaiBabu}, TITLE = {Enhancement of Voltage Stability in Radial Distribution System Using Artificial Neural Networks}, JOURNAL = {ICGST International Journal on Automatic Control and Systems Engineering, ACSE}, YEAR = {2008}, VOLUME = {08},
ISSUE = {I},
PAGES={35--41}
}
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