Fuzzy logic-integral backstepping control for PV grid-connected system with energy storage management

Abstract

To solve the problems of nonlinearity and power fluctuation linked on the Photovoltaic panel (PV) connected storage system and grid, because of the temperature and irradiation variation. We integrated three parts of the control. The first part, dedicated to developing an algorithm to eliminate the nonlinearity; therefore, we have obtained the Maximum Power Point Tracking (MPPT) via the control of the duty cycle of DC/DC boost converter. Consequently, to achieve the MPPT, we combined between tow algorithms Fuzzy Logic and Integral Backstepping (Fuzzy Logic-Integral Backstepping Controller) as a new strategy of MPPT. This MPPT based on the performances of the Fuzzy Logic Controller (FLC) as an estimator of the reference voltage, next, we apply the Integral Backstepping approach to generate the law control founded on the Lyapunov theory to augment the robustness and stability of the PV connected storage system and grid. Then, in the second part of the control, we add a Batteries Energy Storage System with a control management algorithm in the DC/DC side to eliminate any fluctuation of the output power of the PV system. In the third part of the control linked to the grid side, we use the three-phase Voltage Source Inverter Control (VSIC) as a charge controller for the stability of the grid parameters.