Nowadays PV systems is suffering from two main problems: high production cost and low
efficiency especially under variable weather conditions. Therefore, to reduce such
associated problems, PV systems are being connected with various optimization controllers
such as maximum power point tracking. In this paper, an artificial neural network maximum
power point method has been designed to be linked between a PV system and DC-DC buck
converter, and each part of the system is fully explained. The whole system was modeled …

The dependency of photovoltaic (PV) arrays on temperature and irradiance levels shapes
their known nonlinear behavior; hence maximum power point tracking (MPPT) is mandatory.
Traditional MPPT techniques, like Perturb and Observe (P&O) and Incremental
Conductance (IncCond), offer acceptable performance with a trade-off between accuracy
and fast operation. Moreover, moderate operation is remarked at rapidly changing
environmental conditions. On the contrary, off-line trained artificial neural network (ANN) is …