Abstract
Permanent magnet synchronous generator (PMSG)-based wind turbine is considered as one of the promising technologies for generating electric power from wind energy. This paper presents an artificial intelligent technique based on fuzzy logic controller (FLC) to enhance the maximum power point tracking (MPPT) of PMSG-based wind turbine. The FLC method is compared with the conventional methods of MPPT to clarify the superior features of the proposed technique. The comparison between the MPPT methods have been accomplished based on the speed response and new evaluation where the overall system efficiency is considered. A complete model of PMSG with a back to back (BTB) converter along with the control system considering different MPPT techniques is conducted using MATLAB/Simulink O platform. To reveal the robustness and the feasibility of control system, the system is examined under different wind speed profiles. On the basis of the results, good tracking with high accuracy and lower oscillation rate are obtained after using FLC. Moreover, the overall system efficiency is enhanced compared with other MPPT schemes.
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