Performance Improvement of Smart Grid by Different Multi-Level Inverters and Techniques

Multi-level inverters, which outperform conventional inverters in terms of voltage control and harmonic reduction, have become essential parts of contemporary power electronics systems. Optimizing multi-level inverters' efficiency and reducing harmonic distortion by using different calculation strategies. The study aims to investigate the impact of these methods on key performance metrics, such as efficiency improvement, Total Harmonic Distortion THD reduction, voltage quality enhancement, and overall system reliability. Finding application-specific Key Performance Indicators (KPIs) and calculating the desired improvement for each KPI are the first steps in creating a Modulation Link Interface (MLI). Total Harmonic Distortion (THD), output voltage quality, efficiency, and switching frequency are typical KPIs for MLI applications. These measurements are essential for assessing how well the MLI system is working. Neutral Point Clamped (NPC) inverter, Flying Capacitor (FC) inverter, and Cascaded H-bridge inverter. The process of choosing and putting into practice different calculation approaches for controlling a modulation link interface, or MLI, is called implementation. These approaches include more complex ones like Space Vector Modulation (SVM), Selective Harmonic Elimination PWM (SHEPWM), and Model Prognostic Control (MPC), as well as Sinusoidal Pulse Width Modulation (SPWM) methods including SPWM, PDPWM, and APODPWM. Major Findings: The findings show the time-voltage relationship at 150 volts, crucial for voltage modulation in electronics. Using Python, these variations can be simulated and analysed to assess their impact on system behaviour. Future research could explore advanced computation techniques like machine learning and adaptive control for real-time performance optimization of multi-level inverters.