The main purpose of this paper to compare and analyze three types of controllers in the three phases DC–AC inverters in hybrid renewable energy source (HRES) systems. To achieve this, two modern controllers are developed and compared based on sliding mode control (SMC) and artificial neural network techniques. The HRESs comprise photovoltaic (PV), wind turbines, battery storage systems, and transmission lines connected to infinite bus bars via a step-up transformer. The developed controllers at the inverter side utilize both voltage control and current regulation. A DC–DC boost converter is employed to set up a voltage demand at the point of common coupling (PCC). Then, the formulation of an HRES with the developed controllers is presented. The developed controllers are considered to operate under various solar radiations, temperatures, and wind speed loading conditions. The HRESs with the developed controllers are simulated via MATLAB/Simulink to verify the effectiveness of the developed controllers. The obtained results demonstrate that adaptive SMC and artificial ANN control techniques give better results in terms of input power, output power, current, and voltage when compared to classic PI control.

本文的主要目的是比较和分析混合可再生能源（HRES）系统中三相DC-AC逆变器中的三种控制器。为此，开发了两个现代控制器，并基于滑模控制（SMC）和人工神经网络技术进行了比较。HRES包括光伏（PV），风力涡轮机，电池存储系统和通过升压变压器连接到无限母线的传输线。逆变器侧开发的控制器同时利用了电压控制和电流调节功能。DC-DC升压转换器用于建立公共耦合点（PCC）的电压需求。然后，提出了具有开发的控制器的HRES的公式。研发的控制器被认为可以在各种太阳辐射，温度，和风速加载条件。通过MATLAB / Simulink对带有已开发控制器的HRES进行了仿真，以验证所开发控制器的有效性。获得的结果表明，与传统的PI控制相比，自适应SMC和人工ANN控制技术在输入功率，输出功率，电流和电压方面提供了更好的结果。