ZETA DC-DC converter supports photovoltaic production design with utmost tracking POWER using Dual-Anfis

Abstract

The efficiency of photovoltaic (PV) modules is not linear to environmental circumstances, resulting in nonlinear PV curves. The nonlinear PV curve has only one point when the power is at its highest. Perturbation and observation (P&O) technique has been extensively used for Maximum Power Point Tracking (MPPT). However, tracking MPP takes longer with the lower step size approach. In the steady state, oscillations are observed be have higher with increasing step size operating point. As a result, new approaches for tracking this MPP with improved quick dynamic reaction, energy generation effectiveness, performance, and stability have been developed. This proposed study work obtains an intellectual solution for maximum power point tracking using a dual adaptive neuro-fuzzy inference system (ANFIS) controllers. The suggested Dual ANFIS MPPT approach identifies the best operating point of a PV system that is developed using a ZETA DC-DC converter as the PV array's and load's interface. MATLAB Simulation findings also include ZETA converter-based PV system that compares the suggested tracking behaviour to dual ANFIS MPPT technique with perturbs and observes MPPT algorithm the approach under dynamic response.