A new efficient MPPT for improving the performance of photovoltaic system using the arithmetic optimizer algorithm

Solar energy is well suited to combating global warming as a leading renewable energy supply. 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 work provides a new meta-heuristic method called the arithmetic optimization algorithm (AOA) technique based on MPPT control of PV systems to address these issues. The suggested technique improves PV system performance by allowing faster and more accurate tracking and very low oscillations. The simulation results demonstrate the suggested AOA control technique stands out for its ease of implementation, robustness, and steady-state power tracking efficiency of up to 99.643%.