Parameters Update Strategy for Model-Based MPPT for PV Systems

The significance of photovoltaic (PV) energy production has grown considerably, driven by the increasing energy cost and energy demand. As is widely acknowledged, a pivotal role in PV systems is played by the tracking algorithm, which is tasked with ensuring the optimal power generation. Numerous techniques for Maximum Power Point Tracking (MPPT) have been developed to meet this objective. Among these, a particularly promising category is based on the modeling of the panel, known as model-based MPPTs. This technique demonstrates significantly enhanced performance in dynamic scenarios with respect to classical tracker algorithm. On the other hand, for its structure, the MB-MPPTs performances strictly depend on model parameters accuracy. This paper describes two strategies for the model parameters update and investigates the minimum set of measurement points needed for achieving good estimation accuracy. Both strategies result in an increase of energy production, when compared to the previously developed monthly update strategy.