Intelligent MPPT Control for Wind Energy Conversion Systems Based on Reinforcement Learning

Abstract

This article gives the best intellectual strength wind energy variable-speed point detection algorithm systems of transfer focused on improving instruction. Since reinforcing learning (RL) helps the variable - speed wind method to learn by direct contact with the environment. Awareness of factors of wind turbines or wind speed is not concerned. The first proposed MPPT control scheme facilitates a mix of the ANN and the Q-learning method to ensure the optimal coordination between PMSG engine speed and power. The proposed ANN-based RL MPPT control algorithm is supplied with simulation and experimental data.