English: With the continuous increase in installed capacity of renewable energy generation, large-scale grid-connected renewable energy systems are exhibiting increasingly complex operational characteristics. The deep integration of a high share of renewable energy and a high proportion of power electronic devices significantly amplifies the system's dynamic behaviors and uncertainties across multiple time scales, leading to emerging trends in operational risks. These risks may not only reduce system operational efficiency but also pose threats to regional power supply security. Therefore, on one hand, it is necessary to systematically identify and quantify the sources of risks and their evolution mechanisms under different operating conditions. On the other hand, advanced technologies for risk perception, assessment, and optimal control provide a feasible pathway for the safe and efficient operation of renewable energy clusters. This special issue aims to bring together the latest theoretical methods and engineering practices in risk perception, dynamic assessment, and intelligent control of grid-connected renewable energy systems, thereby ensuring the secure, reliable, and optimal operation of the power system with large-scale renewable energy integration.

中文: 随着新能源发电装机容量的持续攀升，大规模新能源并网系统正呈现出高度复杂的运行特性。高比例新能源与高比例电力电子设备的深度融合，使得系统在多时间尺度下的动态行为与不确定性显著增强，运行风险呈现出新的发展态势。这些风险不仅可能导致系统运行效率下降，还可能引发区域性的电力供应安全隐患。因此，一方面需要系统化地识别并量化不同运行条件下的风险源及其演化机理；另一方面，先进的风险感知、评估与优化调控技术，也为新能源集群的安全高效运行提供了可行路径。本专题旨在汇聚新能源并网系统风险感知、动态评估与智能调控领域的最新理论方法与工程实践，保障大规模新能源接入下系统的安全、可靠与优化运行。