School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China

When the arrival of a cold wave triggers a sudden drop in weather temperature, the energy consumption of the load increases, the output of renewable energy sharply decreases and the system backup and the power supply capacity of the higher-level power grid are insufficient, resulting in a significant power supply shortage problem within the power grid in a short time. With the increasing number of electric vehicles on the load side and the improvement in the responsiveness of flexible resources, the load-side flexibility resources are adjusted to compensate for the power shortage caused by the cold wave. This paper first clarifies that the flexibility resources varies with changing scenarios, explores and constructs models of flexible resources such as electric vehicles during cold wave. Secondly, considering that electric vehicles as flexibility resources need to participate in power grid scheduling through aggregation, a method for aggregating electric vehicles with uncertain connection times is developed. Subsequently, based on the flexibility resources during cold wave weather, non-residential loads and residential loads, a rolling optimal scheduling method for the power grid during cold wave weather is proposed with the objective of minimizing social losses. The electricity adjustment of various resources in the grid during cold wave weather is determined. Finally, through case studies, the proposed method is shown to effectively address power supply shortages in the power grid during cold wave weather.