Grid-Connected Inverter Simulation Based on Repetitive Control

In this paper, we focus on grid-connected inverter simulation based on repetitive control techniques. This simulation methodology enables deeper understanding of inverter operational principles and provides guidance for designing more efficient and reliable grid-connected inverters. Through simulation, we can model inverter performance under various operating conditions, evaluate system behavior, and optimize control parameters. The repetitive control algorithm implementation typically involves periodic error correction mechanisms using internal model principles, where key functions include delay-line memory buffers for storing previous period waveforms and compensation filters for stability enhancement. This approach holds significant value in inverter research and development, providing solid theoretical and practical foundations for further investigations, with typical implementation featuring harmonic suppression through learning-based control loops and digital signal processing techniques for real-time performance monitoring.