A power quality forecasting model as an integrate part of active demand side management using Artificial Intelligence Technique - Multilayer Neural Network with Backpropagation Learning Algorithm

This paper presents a power quality forecasting model with using Artificial Intelligence Technique, more precisely the Multilayer Neural Network with Backpropagation Learning Algorithm. This forecasting model is used as a supporting tool for a keeping of power quality parameters within the limits in the Off-Grid systems with renewables sources connected via AC By-Pass topology. Results of the most important power quality parameters forecasting are introduced in this paper. The developed algorithm of this model will be implemented into system for controlling the power flows inside the Off-Grid systems operated under Active Demand Side Management.