Maximum Power Point Tracking for Wind Power Generation System at Variable Wind Speed using a Hybrid Technique

This paper presents the Wind Energy Conversion System (WECS) combining Permanent Magnet Synchronous Generator (PMSG) with PSO-RNN controller. The proposed hybrid technique uses Particle Swarm Optimization (PSO) algorithm along with Recurrent Neural Network (RNN) which generates the optimal dc reference current. The proposed Maximum Power Point Tracking (MPPT) algorithm finds the maximum operating point from the power curve which is based on the dc link voltage and current. The proposed hybrid technique is simulated using Matlab / simulink and the performance of the WECS is evaluated and compared with Proportional Integral (PI) and RNN methods. The errors in Power Coefficient, Tip Speed Ratio, DC link voltages and Average Power are evaluated.