Abstract: A method and system for converting mechanical energy from a generator operated by a turbine into electric energy to be input into an electric network, comprising the following: (A) supplying a power electronic converter connectable to input of the generator and to output of the electric network; (B) supplying an electrical power outputting the generator to the power electronic converter; (C) adapting the electrical power using the power electronic converter to input the electrical power to the electric network by the following substeps: (C1) calculating rotation speed of the turbine; (C2) calculating wind speed moving the turbine; (C3) calculating reference rotation speed, corresponding to the maximum point of power input to the electric network, using a Maximum Power Point Tracking algorithm; the method comprising substep (C1) implemented by an algorithm carrying out a virtual encoder, and substep (C2) implemented by training a neural network implementing a virtual anemometer.

Abstract: A method and system for converting mechanical energy from a generator operated by a turbine into electric energy to be input into an electric network, comprising the following: (A) supplying a power electronic converter connectable to input of the generator and to output of the electric network; (B) supplying an electrical power outputting the generator to the power electronic converter; (C) adapting the electrical power using the power electronic converter to input the electrical power to the electric network by the following substeps: (C1) calculating rotation speed of the turbine; (C2) calculating wind speed moving the turbine; (C3) calculating reference rotation speed, corresponding to the maximum point of power input to the electric network, using a Maximum Power Point Tracking algorithm; the method comprising substep (C1) implemented by an algorithm carrying out a virtual encoder, and substep (C2) implemented by training a neural network implementing a virtual anemometer.