Research on Photovoltaic Maximum Power Point Tracking Technology Based on Combined Algorithms

The photovoltaic array exhibits multiple peak power outputs under partial shading conditions. Traditional maximum power point tracking (MPPT) algorithms can get stuck at local maximum power points. To address this issue, a novel MPPT algorithm is proposed based on a combination of the Tuna Swarm Optimization (TSO) and the Particle Swarm Optimization (PSO) for photovoltaic systems. The algorithm achieves a complementary advantage of both methods, accelerating the convergence speed of the TSO in the later stages and avoiding the issue of the PSO easily falling into local optimal values. In the MATLAB/Simulink environment, a photovoltaic array simulation model is established. The simulation results indicate that the algorithm can quickly and accurately search for the global maximum power point.