Improved Fuzzy Logic Control of PV/Battery Hybrid Power System

Abstract

Photovoltaic systems are one of methods of using solar energy, which is one of the most renewable sources. The growth of photovoltaic systems has led to many technical problems, including control; low efficiency and stable provided power. Therefore, we propose in this paper a detailed study of a hybrid system consisting of a PV generator as a primary source and batteries as auxiliary one. Maximum Power Point Tracking (MPPT) algorithm is used to control the boost converter in the objective to increase the PV efficiency, between load and PV generator. This structure can be used as a power supply for standalone system or a solar electric vehicle.The main contribution in this paper is to propose a hybrid FLC/PI supervisor for DC bus voltage control. It should satisfy the load power requirement via the DC-DC bidirectional converter control with optimizing energy transfer. The obtained results using this controller are compared with PI and FLC controllers in term of robustness, stability and dynamic performances. It is confirmed that the proposed control can improve greatly the dynamic performances and robustness of the hybrid PV system.