Design of a neural network control scheme for the maximum power point tracking (MPPT)
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Abstract
This paper proposes a control method for the maximum power point tracking (MPPT) of a photovoltaic system and this with the aim of increasing the output power of a photovoltaic system. An electronic controller is built-in between the photovoltaic generator and the load, whose principal role is the permanent monitoring of the maximum power point of the PV generator commonly called MPPT (Maximum Power Point Tracking) and that in general by acting on a DC-DC converter device. The contribution of this paper resides at the level DC converter device. The contribution of this paper resides at the level of the electric output of the converter, which can be estimated thru three state variables, which are the solar insolation, the temperature of the junction and information on the dynamics of the charging voltage if it exists.
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