Interconnection Performance Analysis Of Single Phase Neural Network Based Npc And Chb Multilevel Inverters For Grid-Connected Pv Systems

This paper presents the interconnection performance analysis of single-phase cascaded H-bridge and neutral point clamped multilevel inverters for grid-connected photovoltaic (PV) applications. Interconnection performance analysis of both inverters was investigated using fixed and variable bands hysteresis current control strategies to ensure a lower current's total harmonic distortion (THD). An intelligent control method based on neural networks was introduced to extract maximum power from the PV modules and to achieve optimal operation of the whole system when connected to the utility grid. Control algorithm was implemented in a microcontroller with interrupt routines priority. Both simulation and experimental results are presented to verify the performance of the proposed control methods. In addition, islanding detection capability of the two topologies was investigated.