Optimization Of Control Algorithms For Multi-Level Inverters In Grid-Connected Systems

Abstract

Multi-level inverters (MLIs) play a critical role in grid-connected systems, such as renewable energy installations and industrial applications, due to their ability to produce high-quality output waveforms with reduced Total Harmonic Distortion (THD). The control algorithms governing these inverters are vital for maintaining system stability, grid compliance, and efficiency. This paper presents a comprehensive study on the optimization of control algorithms for MLIs in grid-connected systems. The research focuses on improving key performance metrics such as THD, power factor, and efficiency, while ensuring compliance with grid codes. Through a combination of advanced control strategies, including Space Vector Pulse Width Modulation (SVPWM), Model Predictive Control (MPC), and hybrid approaches, the optimized algorithms demonstrated significant improvements in inverter performance. Simulation and experimental results validate the efficacy of the proposed methods in enhancing the operational performance of MLIs under grid-connected conditions.