Ibrahim A.А., Miroshnichenko A.A., Solomin E.V., Gordievsky E.M., Kovalev A.A. Control Strategy for Maximum Power Point Tracking of Doubly Fed Induction Motor for a Wind Turbine

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Abstract

Nowadays wind energy has an important role to participate in generating green and cheap electrical power. The countries increase the wind turbine potential along with the general renewable energy sources development. Scientists and engineers are improving the strategies for optimizing the utilization of this type of energy using different techniques. Doubly fed induction motor (DFIM) becomes the necessary part of wind turbine system generation since its good efficiency of using wind power and controlling of reactive power, so the wind systems are being developed more rapidly because of their advantages as friendly and renewable resources of energy. Due to the wind irregular obtainability, power system principle should be based on the extraction of as much power as possible from the wind. The purpose of this research was to introduce a control strategy for maximum power point tracking (MPPT) for a wind turbine and to study its steady state behaviour by using MATLAB/SIMULINK. This modeling algorithm gave us the possibility for asynchronous machine or alternator to track and follow the path of maximum power extraction and the optimal operation points of the power coefficient curve over different wind circumstances simulating the wind turbine model and studying the steady state condition for the reference value and actual value for the rotor speed, electromagnetic torque, the two components of rotor current, rotor voltage, stator voltage and the value of currents for the rotor side and stator side.

Keywords

Wind generation, wind turbine model, maximum power point tracking (MPPT), doubly fed induction motor, steady state analysis, indirect speed control mode.

Ahmed A. Ibrahim

Post-graduate Student, Department of Electric Stations, Grids and Systems, South Ural State University (National Research University), Chelyabinsk, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID: https://orcid.org/0000-0002-4352-3544.

Alexey A. Miroshnichenko

Undergraduate Student, Department of Electric Stations, Grids and Systems, South Ural State University (National Research University), Chelyabinsk, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID: https://orcid.org/0000-0003-4594-3806.

Evgeny V. Solomin

D.Sc. (Engineering), Associate Professor, Professor, Department of Electric Stations, Grids and Systems, South Ural State University (National Research University), Chelyabinsk, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID: https://orcid.org/0000-0002-4694-0490.

Evgeny M. Gordievsky

Undergraduate Student, Department of Electric Stations, Grids and Systems, South Ural State University (National Research University), Chelyabinsk, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID: https://orcid.org/0000-0001-5049-5900.

Anton A. Kovalev

Master degree student, Department of making use of Renewable Energy Sources, South Ural State University (National Research University), Chelyabinsk, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it..

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