International Journal of Innovative Research in                 Electrical, Electronics, Instrumentation and Control Engineering

A monthly Peer-reviewed & Refereed journal

ISSN Online 2321-2004
ISSN Print 2321-5526

Since  2013

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 power output from wind turbines varies nonlinearly with the wind speed, the speed of the turbine blade tips and the blade pitch angle. At a given pitch angle and wind velocity, maximum power is obtained at a specific turbine angular speed. Since wind speeds typically vary over a wide range, the turbine speed needs to be continuously adjusted so that its power output can be maximized. A complete model of Wind turbine, PMSG and Fuzzy logic control MPPT technique is conducted using MATLAB/Simulink platform. On the basis of the results, good tracking with high accuracy and lower oscillation rate are obtained after using FLC.

Index Terms: Wind System, Maximum Power Point Tracking (MPPT), Fuzzy Logic Control (FLC).

PDF | DOI: 10.17148/IJIREEICE.2022.10445

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