Abstract
Traditionally, maximum power point tracking control (MPPT) methods are independent of the mathematical model and require multi-step adjusting of the inverter, resulting in multiple disturbances of the photovoltaic (PV) system. Actually, the PV cell has a definite U – I curve at a certain degree of illuminance and temperature, which can be described in a mathematical model. This study proposes a one-step MPPT method based on five-parameter model. Utilising voltage and current measurements, the DC/DC inverter of each PV panel obtains equations for five parameters and solves them via Newton iteration method. According to P – U curve, the derivative of P to U is zero. Thus, an implicit equation of the maximum power can be given along with a constraint. Considering the bimodal characteristics of P – U curve under cloud shade condition, the constraint prevents the result to converge to the low peak point. Then the DC/DC inverter can adjust the PV system to MPP by one step. Furthermore, since the five parameters vary at different illuminance and temperature, the database can be established based on the correspondence between condition and parameters, which can give back to DC/DC inverter to improve the tracking efficiency.
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