Research on the maximum power point tracking method of photovoltaic based on Newton interpolation-assisted particle swarm algorithm

Solar energy has attracted a lot of attention because it is clean and has no pollution. However, due to the partially shaded condition, the photovoltaic array cannot work uniformly at the maximum power point, resulting in a large power loss. To improve this problem, the research of the maximum power point tracking (MPPT) algorithm is discussed by scholars. In this paper, an improved particle swarm optimization (PSO) algorithm is proposed to achieve the goal of MPPT, which uses Newton interpolation-assisted conventional PSO. After tracking to the maximum power point, the Newton interpolation method is used to calculate the maximum power point, reduce the number of iterations of the conventional PSO algorithm and reduce the steady-state oscillation. The simulation is carried out in MATLAB (R)/Simulink (R) and compared with conventional PSO. The results show that the improved PSO has better tracking accuracy and speed than the conventional algorithm, and the initial tracking speed is increased by >30%.