ANN-based reactive power controller with real-time web monitoring
by Carl John O. Salaan; Mark Joseph M. Victoria; Noel R. Estoperez
International Journal of Advanced Mechatronic Systems (IJAMECHS), Vol. 5, No. 3, 2013

Abstract: This study introduced a real-time reactive power controller based on artificial neural network with web-based monitoring. A feed-forward employing back-propagation was used as training technique. The inputs to the network were the active and reactive power of each load. The targets were to switch on/off the capacitor banks during normal and abnormal conditions. The network was trained using developed MATLAB program and the weights resulted to minimum mean-square-error were fed to the microcontroller unit. The method was then tested in a three-bus radial distribution system model and implemented using Zilog microcontroller. The system actions were monitored using web-based monitoring application. The method was validated in actual operation of the system using the test data and results were satisfactorily obtained.

Online publication date: Sat, 12-Jul-2014

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