ANN scheme for remote monitoring of short and long voltage variations in a distribution system

Voltage monitoring is fundamental in order to provide a continuous power supply and keep power quality levels within standard limits. However the monitoring process may be complex and expensive. Thereby, this paper presents an alternative method based in an Artificial Neural Network (ANN) scheme to assess the RMS voltage levels in specific monitoring points throughout a distribution system. The Alternative Transients Program (ATP) is used to model a real distribution power system that provide both the training and validation sets for the aforementioned ANN. Results reveal good performance of the proposed voltage remote monitoring method.