Enhanced Power Quality in Grid-Tied PV Systems Using an Optimized ANFIS Controller for a 5-Level MLI

Multilevel inverters (MLIs) provide a major advancement for renewable energy and industrial applications. They offer superior performance compared to conventional inverters by reducing switch rating size and increasing efficiency. However, it has some drawbacks, including a complex pulse width modulation control, voltage balancing challenges, and an increased number of switches. To overcome these issues, the proposed MLI topology is modelled to minimize number of DC sources and switches while also enhancing the modularity and expanding the number of output levels. Switching pulses for five-level MLI is optimized using an Adaptive Neuro-fuzzy interference system (ANFIS) controller to produce the most effective switching signals for the proposed inverter. Dynamic voltage restorer (DVR) is utilized in the system to address power quality (PQ) problems, including harmonics, voltage swells, and voltage sags. The findings show that the ANFIS controller produces a Total Harmonic Distortion (THD) of 1.66%, while the fuzzy controller results in a THD of 6.54%.