Conventional and intelligent maximum power point tracking strategies for mitigating shading issues of photovoltaic systems: A comprehensive review

Abstract

As a leading renewable energy supply, solar energy is well suited to combating global warming. Solar systems in the form of photovoltaic (PV) generation are incredibly dependent on their operating circumstances regarding their techno-economic feasibility. The nonlinear control challenge is exacerbated by the partial shading (PS) environment, which results in significant power losses. High tracking and settling time, oscillations at global maxima (GM), and local maxima (LM) trapping under PS circumstances are all apparent shortcomings of metaheuristics-based maximum power point tracking (MPPT) control systems in the literature. This paper will explain and discuss the preceding articles and give a division and performance technique that is appropriate. This describes the performance, applicability, benefits, and drawbacks of algorithms and may be utilized as a guide for choosing a suitable algorithm. This article classified algorithms into four categories: conventional schemes, intelligent schemes, Optimizing schemes, and hybrid schemes. A comparison chart is also supplied to examine the techniques. was utilized to regulate a PV system. The major goal of this work is to offer an efficient maximum power point tracking based on optimization to address the challenges that PV systems face while also addressing the traditional MPPT issues.