An Enhanced Algorithm Combining P&O with Dung Beetle Optimizer for Photovoltaic Systems under Partial Shading Conditions

Partial shading conditions (PSCs) induce a multi-peak state in the P-V characteristics curve, posing challenges to the precise tracking of the maximum power point (MPP) in photovoltaic (PV) systems. This paper introduces a maximum power point tracking (MPPT) algorithm named Enhanced Dung Beetle Optimizer combined with Perturb and Observe (EDBO&PO). The proposed technique strategically integrates the DBO algorithm in the initial phase and the P&O algorithm in the subsequent stage, providing an effective solution for tracking the Global Maximum Power Point under PSCs. The proposed approach involves the DBO algorithm determining the range where the MPP is situated, followed by the rapid locking onto the MPP facilitated by the P&O algorithm. The collaborative integration of the DBO’s global search ability with the P&O’s local search capability guarantees efficient convergence and rapid tracking. In diverse test scenarios, the introduced EDBO&PO algorithm showcases its proficiency in GMPP tracking, achieving an average efficiency of 99.97% and an average tracking time of 0.5 seconds.