Control of Capacitors in Distribution Networks Using Neural Network Based on Radial Basis Function
نویسنده
چکیده
This paper proposes a method for real-time control of capacitors in a distribution system to reduce the total power loss and to improve the voltage profile. Traditionally, this problem of optimal capacitor switching has been solved through various optimizations techniques. However, as the time taken by these traditional optimization methods are quite significant, these methods may not be much suitable for online application. Artificial neural networks (ANN) are an efficient method for prediction in many systems developed in recent years. The radial basis function neural network (RBFNN) method has the advantages of rapid training, generality and simplicity over feed-forward neural network. It is shown that the proposed network can overcome the drawbacks of conventional methods. The proposed schemes are tested and results verify the effectiveness of this approach. Key-Words: Optimum capacitor control, Distribution automation, Neural network, Radial basis function, Real time control.
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