One potential drawback of the closed-loop optimization approach compared to open-loop grid-code satisfaction is the increased computational complexity and real-time implementation challenges. While closed-loop optimization offers the advantage of achieving optimal and stable system performance by considering the dynamic interactions between the converter system and the grid, it requires continuous monitoring and adjustment of the control parameters to adapt to changing grid conditions. This real-time optimization may introduce additional latency and complexity to the control system, potentially impacting the system's responsiveness and robustness. Furthermore, the closed-loop approach may be more resource-intensive in terms of computational requirements and system modeling, making it less straightforward to implement and maintain compared to open-loop grid-code compliance, which provides a simpler and more deterministic control strategy.