Enhanced Sliding Mode Control Strategies of Modular Multilevel Converters with Advanced Computational Simulation and Optimization Techniques

Abstract

This paper presents advanced sliding mode control (SMC) strategies aimed at enhancing the performance of Modular Multilevel Converters (MMC) by leveraging computational simulation and optimization technologies. By integrating the robust characteristics of SMC with the stability benefits of passivity-based control (PBC), the proposed method addresses challenges such as nonlinearities and system uncertainties in MMC. High-fidelity computational simulations are employed to evaluate and optimize the control strategies, utilizing algorithms tailored for current tracking, dynamic response, and robustness enhancement. The results of these simulations are compared with traditional Proportional-Integral (PI) control across key metrics, including current tracking accuracy, power quality, Total Harmonic Distortion (THD), and overall system efficiency. The findings demonstrate that the novel SMC strategies, combined with computational optimization, significantly outperform PI control, achieving superior power regulation and system stability. This work underscores the transformative potential of integrating computational methodologies with control strategies to advance MMC technology for high-reliability power systems.