Optimizing Resilience with Digital Twin in Three-Phase Grid-Connected Systems

The integration of renewable energy sources into power grids necessitates advanced fault ride-through (FRT) strategies. This paper proposes a comprehensive approach to address this need by combining Digital Twin (DT) modeling, eXplainable Artificial Intelligence (XAI) for islanding detection, and adaptive FRT methodologies in a grid-connected system with a Voltage Source Converter (VSC). The system operates in both grid-forming and grid-following modes, with a passive damping technique to enhance stability. The DT model encompasses plant modeling, Pulse Width Modulation (PWM) stage, and closed-loop virtual control crucial for islanding detection and dynamic response. XAI is employed for efficient classification using voltage magnitude, frequency, phase angle, and current. The FRT strategy ensures seamless transition from grid-connected to islanded operation, maintaining uninterrupted power supply and stability. Rigorous testing demonstrates the robustness of the DT model, emphasizing its contribution to intelligent control strategies in power systems.