Optimal Power Point Detection in Dynamic Partial Shading of PV Systems Using Darts Game Optimizer Algorithm

This study proposes the darts game optimizer (DGO), a revolutionary game-based optimization technique. The unique aspect of this inquiry is the DGO design, which is based on a simulation of the darts game’s regulations. In comparison to other non-renewable sources, solar energy produced by a PV production system is the cleanest, pollution-free, and most practical form of electrical energy. The irradiance and temperature parameters of the atmosphere affect the power generated by PV generation systems. The generated power of the panels will be impacted by PV partial shadowing circumstances. Power losses increases and hence efficiency reduces due to partial shading. Extraction of maximum power from PV systems using MPPT algorithms becomes difficult during partial shading conditions due to increased local optimal peak powers. This paper proposes a game-based optimization algorithm termed Darts Game optimization (DGO) to extract maximum power by tracking global maximum point from local optimal peak powers. The results presented in the paper demonstrate the capacity of the proposed DGO algorithm in tracking the global maximum with quicker convergence, lesser settling time, and negligible power oscillation. The practicability and efficacy of the proposed DGO-based MPPT have been validated using simulation, and the results are compared with Perturb & Observe and Particle Swarm optimization based MPPT algorithms. Presented results evidently validate its ability in tracking the global maximum.