A switched boost landsman converter with ANFIS based MPPT for grid connected wind energy system

The rapid rise in electricity demand, as well as recent changes in environmental conditions necessitated the development of a new source of energy that is both cheaper and more sustainable with less carbon emissions. In the search for a solution to the problem, solar energy has yielded promising results. Wind power is one of the most promising sources of energy in the world and it is predicted to grow rapidly in the next years. The blade pitch angle of Wind Energy Conservation System (WECS) is controlled by applying artificial intelligence techniques. In this paper, an ANFIS based technique for blade pitch control of WECS is proposed. This research also proposes a new technique for creating a training and testing dataset for the ANFIS controller in order to alter its membership functions. A boost Landsman converter is also proposed. Several test scenarios are performed to verify the effectiveness and robustness of the proposed ANFIS-based approach. The suggested controller’s advantages enable higher performance against wind speed fluctuations, parameter uncertainties, variations in load demand and communication channel time delays.