Research on improved MPPT Fuzzy Logic Control-Incremental Conductance Algorithm

This research discusses the limitations of the Maximum Power Point Tracking (MPPT) incremental behaviour algorithm. Although MPPT's incremental behaviour algorithm is simple and easy to implement, despite its usefulness, this method is beset by several limitations which include a slow convergence rate towards the optimal operating point, significant oscillations surrounding the maximum power point at steady state, and momentary system movement away from the maximum power point after sudden changes or variations in irradiation. For these reasons, an improved MPPT Fuzzy Logic Control-Incremental conductance (FLC-IC) algorithm is proposed in this study. And the adjustment in the input variables of the MPPT Incremental Conductance algorithm controlled by the fuzzy intelligent control algorithm increases the convergence speed, decreases the oscillations, and remains stable despite radiation variations. The algorithm is simulated and applied in a charge controller that operates using the solar energy, and the outputs observed highlights the effectiveness of the proposed algorithm that is proposed over the IC algorithm in terms of speed and efficiency.