RESEARCH ON SIC-FT CONTROL ALGORITHM FOR MPPT PHOTOVOLTAIC SYSTEM
Given the non-linear characteristics of solar cell outputs,the maximum power point tracking(MPPT)algorithms are employed in numerous micro PV systems,regardless of their scale.This study focuses on the traditional fixed-step perturbation and observation(P&O)method used in the MPPT algorithm.Due to challenges in optimizing tracking speed with steady-state oscillation suppression in the standard P&O algorithm,a novel P&O-based approach is introduced,integrating steady-state identification with fast tracking.Moreover,a performance evaluation system for the MPPT algorithm is introduced.Using the Matlab2022a/Simulink platform,the proposed method's efficacy was benchmarked against other enhanced P&O algorithms via simulations guided by the aforementioned evaluation system.Results suggest that the proposed method consistently outperforms its counterparts in the simulations.
maximum power point trackingphotovoltaic systemperturbation and observation(P&O)steady state oscillationfast tracking
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