Fuzzy control and optimization of a photovoltaic system for smart building with low energy consumption
Résumé
This paper deals with the integration of a photovoltaic energy conversion system (PVECS) into a distribution network and cater for the energy needs of buildings. The main goals of this work are the reduction of the grid dependence, minimization of the energy cost and increasing the autonomy of the building's energy. Two stages converters are used to ensure the maximum power point tracking (MPPT) and to control the power flow. A fuzzy MPPT control is proposed to maintain the power of the Photovoltaic panel at its optimal value despite climatic condition variations and building's load changes. The grid side inverter is controlled by hysteresis regulators to transfer the total produced energy, with the aim to partially or completely replace energy provided from the Grid. The DC link voltage is also stabilized in order to improve the energy quality. The complete PVECS system is modelled and simulated in Matlab/Simulink, the controllers used are simple to implement and the simulation results show that the building's energy demand can be satisfied, and the energy exceed is injected into the grid. The results confirm the good effectiveness of the proposed control.