High-efficiency MPPT strategy for PV Systems: Ripple-free precision with comprehensive simulation and experimental validation

• A newly developed MPPT algorithm is presented for improved tracking performance. • The proposed strategy uses an MPP voltage boundary to control the PV voltage and. • directly generate the required duty ratio, resulting in high convergence speed and zero MPP fluctuations. • It eliminates the output ripple problem of the boost converter. • The simulation and experimental results based on the MATLAB/Simulink and dSPACE. • DS1104 board platforms, respectively, demonstrate the robustness of the proposed. • strategy in the case of having a shorter response time, a lower ripple problem, and a higher tracking efficiency of 99.60 %. This paper presents a newly developed maximum power point (MPP) tracking algorithm (MPPT) to boost the tracking performance of solar photovoltaic (PV) systems. By functioning PV arrays at their MPP and eliminating the ripple problem in the converter's output, the newly developed strategy can markedly improve the precision of tracking and overcome the issues faced by many existing algorithms. The proposed strategy uses an MPP voltage boundary to control the PV voltage and directly generate the required duty cycle using a mathematic expression, resulting in a high convergence speed, drift problem avoidance, and zero MPP fluctuations. To prove and validate the robustness of tracking of the suggested MPPT strategy, both simulation and experiment validations based on the MATLAB/Simulink and dSPACE DS1104 board platforms, respectively, are carried out under swift variations in solar irradiance. The effectiveness of the proposed approach is evaluated by comparing it to the InC algorithm in terms of tracking accuracy. The results from both simulations and experiments demonstrate that the suggested strategy surpasses the InC approach in multiple aspects. It exhibits a shorter response time, eliminates the ripple problem, and achieves a superior tracking efficiency of 99.60 %.