Abstract: 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.