Design of Optimal Pi Controller for Permanent Magnet Synchronous Generator Driven By Variable Speed Wind Turbine Using Genetic Algorithm
This paper shows the variable speed wind turbine with MPPT controller as fixed speed wind turbine is not suitable for most of the applications. Including a MPPT algorithm in a wind energy system is necessary due to the instantaneous and unpredictable change of the wind speed. The wind turbine drives the Permanent Magnet Synchronous Generator (PMSG). Using a PMSG, very high torque can be achieved at low speeds, no significant losses are generated in the rotor, lower operational noise is achieved and external excitation current is not needed. The Maximum power point tracking is implemented in wind turbine to maintain the output power constant at variable speeds. PI controller is used to calculate the error value as the difference between a measured process variable and a desired set point. The controller attempts to minimize the error. Optimization tool, Genetic Algorithm is implemented in the PI controller for selecting integral gain value.This simulation studies are carried out and analyzed for variable speed wind turbine using the MATLAB/SIMULINK tool.