Performance Investigation of ANN Controller-Assisted Small Hydro Power Generation System

In this paper, the performance investigation of artificial neural network (ANN) controller-assisted small hydro power generation system (SHPGS) has been presented. The mathematical modeling of SHPGS is implemented in MATLAB/Simulink software. As the turbine speed and output power are directly proportional to the water flow rate and net head, an ANN controller has been implemented to control these parameters under varying load demand. A comprehensive investigation of the system under steady state and dynamic state has been done in terms of demand power, water flow rate, net head, turbine power, load voltage and current. The results validate that the ANN controller has satisfactory performance under dynamic conditions.