Publication: Evaluation of conventional and modified hill climbing mppt algorithms
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Date
2023-08
Authors
Siti Khadijah binti Shamsulkamal
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Abstract
The conventional perturb and observe (P&O) algorithm, one of the methods of Hill Climbing maximum power point tracking (MPPT), is well-liked due to its
simplicity of implementation. Nonetheless, conventional P&O has limitations because of power oscillations in the steady state and poor tracking of MPP with inadequate choices of perturbation step size and tracking time. Additionally, even after achieving a steady state, continual perturbations still result in wasteful power oscillations. On the other hand, a significant study has been conducted on the P&O MPPT methods for enhancing the overall effectiveness of solar photovoltaic (PV) systems. In this paper, an evaluation of the conventional and the recently published modified P&O hill climbing MPPT algorithm approaches is proposed to solve these drawbacks of the conventional P&O algorithm. By modelling the three algorithms in MATLAB Simulink and comparing their performance to that of the conventional P&O algorithm, the effectiveness of the three-enhanced method has been confirmed. It can be seen that the Modified 1 P&O method surpasses the Modified 2 and 3 P&O MPPT methods as well as conventional P&O. The Modified 1 P&O algorithm is the most effective way to lower steady-state oscillation since it has a low average input power ripple (0.19336%) and the lowest average output voltage ripple (0.05602%). In comparison to other approaches, it also offers the fastest simulation time, the shortest tracking time, and the highest MPPT efficiency (99.97%).