Multilevel PV-Grid NPC Inverter Based Artificial Neural Network Maximum Power Point Tracking Technique

This paper presents a three-phase multilevel PV-grid neutral point clamp (NPC) inverter. The proposed NPC inverter is working in current control mode, and the switching pulses are configured by the PI current controller. In addition, the proposed inverter uses the phase-locked loop approach to work in parallel with the utility network. The proposed inverter executes the maximum power from the PV panels without the use of any further DC-DC converter. The artificial neural network (ANN) maximum power point tracking method (MPPT) was used to Figure out the current reference for the current controller. The simulation results show grid voltage and inverter current are both in phase with each other, which means there is a unity power factor. Total harmonic distortion (THD) for the inverter’s injected current is 2.9%. This percentage is within the range of standards, less than (5%).