Resilient and efficient grid-integrated PV system using ANFIS–MSERA-based 13-level switched-capacitor multilevel inverter

Grid-integrated solar photovoltaic (PV) systems are crucial for ensuring reliable power supply, but their performance can be affected by variations in solar irradiation caused by changing climatic conditions. A 13-level cascaded multilevel inverter with a switched-capacitor architecture (13L-CMLI-SC) is proposed by this research to improve the stability and efficiency of PV systems. Maximum power point tracking is implemented using the multi-strategy enhanced remora algorithm, enabling optimal power generation under variable irradiation conditions. Inverter input is controlled using an adaptive neuro-fuzzy inference system controller, which enhances output voltage control and reduces power quality problems. MATLAB simulations demonstrate that the proposed system achieves a high overall system efficiency of 99.3% and reduces total harmonic distortion to 3.2%, outperforming conventional topologies in similar scenarios. The results highlight the potential of integrating advanced algorithms with multilevel inverter designs for efficient and stable PV power generation under dynamic environmental conditions.