Performance of Wind Generation System by Employing PMSG and DFIG with HCS based ANFIS Controller

R. Pavan Kumar Naidu and S. Meikandasivam

This research paper emphasizes the performance of grid-interconnected with the wind energy systems. The wind generating system consists of the DFIG (Doubly Fed Induction Generator) and the PMSG (Permanent Magnet Synchronous Generator). In the wind energy conversion system, the MPPT technique is used to extract the maximum power from the wind system. Hill Climb Search (HCS) and ANFIS (Adaptive Neuro Fuzzy Inference System) control techniques are used to extract the maximum power. The steady state voltage performance of both the generators are analyzed with and without MPPT (Maximum Power Point Tracking) & ANFIS controller. The ANFIS controller gives the better efficiency in terms of voltage, less oscillations and the results are depicted. Based on the results DFIG has more oscillations than PMSG. The whole system is implemented and simulated in the MATLAB/Simulink software.

Volume 11 | 04-Special Issue

Pages: 495-508