MPPT of 1.5 kW Wind Turbine With Pitch and Voltage Control Based on Artificial Neural Network

Abstract

This research contains the MPPT design on a PMSG wind turbine with a pitch and voltage controller using ANN. There are 3 models in this research, ANN-based settings with only pitch control, only voltage controllers, and with both pitch and voltage controllers. Modeling is done using MATLAB software as tool for making ANN and simulation. The ANN input in pitch angle controller are Cpopt and TSR with reference pitch angle as output, voltage controller input are optimum voltage of wind and voltage of actual with duty cycle as output. Simulations are made in 4 conditions, increasing and decreasing speed in region 2 and 3 of wind turbine. The results are, wind turbine model with pitch controller has an efficiency of 62.8%-66.2% in region 2 and 53.4-53.7% and able to limit the output in region 3, in voltage controller only the system has 93.497% efficiency with ripple and spike and reach maximum power in region 2 but it can not limit the output in region 3, and turbine with pitch and voltage controller has an efficiency of 93.4-97% with ripple and spike in region 2 and can limit the output in region 3 with efficiency 94.6%-94.2% whilst attaining maximum power altogether.