A novel method of maximum power point tracking for a SRG based wind power generation system using AI

A novel maximum power point tracking technique is introduced in this study, for a wind power generation system, based on switched reluctance generator. This method is based on the rotor speed control of the SRG, by adjusting the excitation current with respect to the wind speed, using an artificial neural network (ANN). In order to achieve best performance, considering the non-linear nature of the SRG wind power generation system, processes of optimization are performed, using the genetic algorithm (GA). Results obtained by the optimizations were used to train the ANN. The presented MPPT method is then modeled and simulated, in MATLAB®/SIMULINK™ environment, in order to investigate and verify its performance.