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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Vulnerable Load Bus Identification Using Radial Basis Neural Network
verfasst von : Gauri Shankar, Bhavik Suthar, R. Balasubramanian, Prince Ashok
Erschienen in: Power Electronics and Instrumentation Engineering
Verlag: Springer Berlin Heidelberg
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This paper presents a study on effectiveness of artificial neural network in estimating the voltage instability. An ANN model based on radial basis function is designed to predict accurately the voltage collapse phenomenon. In the present study, L-index is used as the voltage collapse proximity indicators. ANN model using radial basis function is trained to identify vulnerable buses in power system which contributes maximally in bringing system to the point of voltage collapse. Modeling is done using a sample 5-bus system and results obtained are quite promising with minimum error in predicting voltage collapse.