This research aims to maximize the use of renewable energy sources by improving multilayer inverter efficiency. Critical issues including power quality, efficiency, and system dependability will be addressed concurrently. Advanced control strategies and optimization techniques are used to improve and explore multilevel inverter topologies, such as diode clamped, floating capacitor, and cascaded H-bridge systems. The study assesses the converter's overall efficiency, switching losses, output waveform quality, total harmonic distortion (THD), and voltage stress. In order to determine the best switching patterns and dynamic responsiveness for a wide range of load and generation parameters, researchers are currently exploring novel algorithms such as particle swarm optimization (PSO), genetic algorithms (GA), and model predictive control (MPC). The findings show that advanced multilayer inverter systems greatly improve the stability and effectiveness of renewable energy systems in both grid-connected and independent applications.