Model predictive control design for DC-DC converters applied to a photovoltaic system

Despite the reduction of solar installation cost by a ratio of 10 during the last 20 years. still conversion efficiency of PV panels remains an important parameter to take into account when designing solar system for residential applications. Therefore. an efficient MPPT algorithm plays a key role to harvest optimum available power especially in large solar installations. Several MPPT algorithms have been elaborated in the literature. Among them. perturb and observe (P&amp.O) and incremental conductance (INC) are practically favorable as the awareness of PV panel characteristics is not required. Moreover. their procedures to find MPP are independent of temperature and irradiation values that their measurements need expensive sensors. Principally. P&amp.O and INC are inherently perturbative methods that produce reference voltage or current to be tracked by a subsequent controller.

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