This paper presents a method of intelligent control of a photovoltaic generator (PVG) connected to a load and a battery. The system consists of charging and discharging a battery. An intelligent algorithm based on adaptive neuro-fuzzy inference system (ANFIS) is presented in this work. It performs two separate tasks simultaneously. First, it is used as a PVG Maximum Power Point Tracking (MPPT) command. This same algorithm is used secondly for protecting the battery against deep charges and discharges. A regulation of the DC bus voltage is also carried out by means of a PI corrector for a good supply of the load. The simulation results under MATLAB/Simulink show that the method proposed in this work allows the PV system to function normally by charging and discharging the battery whatever the weather conditions.

中文翻译：

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基于自适应神经模糊推理系统的光伏发电机充放电智能控制

本文介绍了一种智能控制连接到负载和电池的光伏发电机 (PVG) 的方法。该系统由电池充电和放电组成。在这项工作中提出了一种基于自适应神经模糊推理系统（ANFIS）的智能算法。它同时执行两个独立的任务。首先，它用作 PVG 最大功率点跟踪 (MPPT) 命令。第二次使用相同的算法来保护电池免受深度充电和放电。直流母线电压的调节也通过 PI 校正器进行，以便为负载提供良好的供电。MATLAB/Simulink 下的仿真结果表明，本文提出的方法使光伏系统能够通过对电池进行充电和放电来正常运行，无论天气条件如何。