Control strategy for a photovoltaiclead-acid batteries energy production system

Abstract EN

For an efficiently use of the photovoltaic energy as well as for the energy supply optimization, an effective control strategy is highly needed.

Therefore, this paper proposes an intelligent control method for an energy generation system composed by a solar panel, a DC-DC converters and a pack of lead-acid batteries.

Firstly, a dynamic modeling of different electrical energy components has been carried out.

Then an online Elman Neural Network (ENN) based controller has been designed and developed in order to perform the tracking of the optimal operating point of the solar source.

Moreover, a Fuzzy Logic Controller (FLC) has been adopted for the adjustment of the PI parameters of the lead acid batteries controllers.

Simulation results obtained in the Matlab/Simulink environment confirm the efficiently of the adopted control scheme.