Performance Study-Based ANN and Classical PI Controllers Used IC and P&O Algorithms for High Power Two-Stage Grid-Connected PV System
摘要
The development of large-scale solar systems that are distributed through a low-voltage distribution grid (LVDG) provides major challenges to the operators of the network. These challenges are caused by the dynamic interactions that occur between PV systems and the grid. This article presented a way of control that could be used to regulate the tension of the CC. A conversion mechanism with two stages is put into use. A comparison of control strategies between IC and P&O algorithms based on an artificial neuronal network (ANN) and conventional control (PI) for best energy manage system. The boost DC-DC converters are regulated utilizing the maximum power point extraction approach with perturb and observe (P&O) and incremental inductance (IC). MATLAB/Simulink was used to develop the model and simulation system.