A Variable Step Maximum Power Point Tracking Method Using Taylor Mean Value Theorem

Photovoltaic power generation systems are vulnerable to weather, resulting in a decline in power generation efficiency. Therefore, it is necessary to use maximum power point tracking technology. This paper proposes a novel variable step size maximum power point tracking algorithm through analysising the photovoltaic power generation model and comparing the commonly used algorithms, such as the constant-voltage method, the perturb-and-observe method, the incremental conductance method. The step size is determined by the forecast of the slope of the PV array power curve and convergence speed can be adjusted. Results of simulation show that the method can fast tracke to the maximum power point, and there is no oscillation at the maximum power point in theory. The maximum error power between the power tracked and the actual maximum power depends only on the number with minimum absolute value that the system can process.