Designing and software realization of an ANN-based MPPT-Fed bladeless wind power generation

The use of non-conventional energy sources has increased in recent years due to the benefits of low power interruptions, unlimited power supply, and non-polluting power generation. Wind power generation has become one of the clean energies whose use will be a viable solution to global warming and power outages. One such proposed system consists and modelling of bladeless wind power generation, which uses wind as an energy source while producing power without the use of blades. Due to the fact that wind energy isn’t really constant, an MPPT with an artificial neural network is being intended to keep the voltage and current of a bladeless wind generator at their maximum peak values regardless of whether environments. The wind generator’s outcome has been fed into a single-phase induction motor that can be used for pumping stations application fields. The proposed wind generator’s architecture as well as findings has been modeled using MATLAB Simulink.