Genetic algorithm optimization of PID pitch angle controller for a 2 MW wind turbine

Pehlivan, Ahmet Selim and Erbatur, Kemalettin (2020) Genetic algorithm optimization of PID pitch angle controller for a 2 MW wind turbine. In: International 2nd Conference on Sustainable Energy and Energy Calculations (ICSEEC2020), Online Live Conference

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Speed regulation of wind turbine rotors are controlled by pitch angle controllers that aect the life expectancy of wind turbines, reliability and power quality. Optimization of wind turbine pitch angle controllers perform crucial eect on the wind turbine dynamics where the speed stability is achieved. In today's modern and commercial wind turbines, blade pitch angle controllers are generally implemented with PI and PID techniques. Determining the controller gain coecients are one of the most signicant problems in order to show a more stable rotor dynamics that eventually leads to better wind turbine performance in terms of both mechanical and electrical qualities. Hence, PID controller was designed and optimized with genetic algorithm technique for a 2 MW DFIG type wind turbine under Matlab-Simulink environment. Gain parameters were optimized for a given wind speed prole from third zone and optimized gain coecients were achieved within the optimization study. A ontroller with an optimum gain coeffcients shows the superior performance than the regular PID performance.
Item Type: Papers in Conference Proceedings
Uncontrolled Keywords: Genetic Algorithm, Pitch Angle Controller, Speed Regulation, Wind Energy
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Mechatronics
Faculty of Engineering and Natural Sciences
Depositing User: Kemalettin Erbatur
Date Deposited: 25 Sep 2020 13:55
Last Modified: 26 Apr 2022 09:36

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