Title: ANN-based reactive power controller with real-time web monitoring

Authors: Carl John O. Salaan; Mark Joseph M. Victoria; Noel R. Estoperez

Addresses: EECE Department, MSU-Iligan Institute of Technology, Andres Bonifacio Avenue, Tibanga, Iligan City, 9200, Philippines ' EECE Department, MSU-Iligan Institute of Technology, Andres Bonifacio Avenue, Tibanga, Iligan City, 9200, Philippines ' EECE Department, MSU-Iligan Institute of Technology, Andres Bonifacio Avenue, Tibanga, Iligan City, 9200, Philippines

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.

Keywords: VAR control; neural networks; web monitoring; ANN; artificial neural networks; reactive power controller; real-time monitoring; microcontrollers.

DOI: 10.1504/IJAMECHS.2013.057439

International Journal of Advanced Mechatronic Systems, 2013 Vol.5 No.3, pp.166 - 173

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 31 Oct 2013 *

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