An Artificial Neural Network Based Real-time Reactive Power Controller

نویسندگان

  • Carl John O. Salaan
  • Noel R. Estoperez
چکیده

This paper aimed to introduce a real-time reactive power controller based on artificial neural network. A feedforward employing back-propagation was used as training algorithm. The inputs to the ANN were real and reactive power of each load. The targets were to switch ON/OFF the capacitors during normal and abnormal conditions. The network was trained and the weights corresponded to minimum (MSE) error were fed to the microcontroller unit. This method was tested in a radial distribution system model and implemented using Zilog Microcontroller. The results were monitored using MATLAB software. The method was validated and results were satisfactorily obtained. Index Terms Reactive Power Control, Artificial Neural Network

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تاریخ انتشار 2011