Assessment of Adjustment Capability for Flexible Resource in High Proportion Renewable Energy Power System

Building a novel electrical infrastructure centered around renewable energy such as wind and solar photovoltaic technology serves as a critical strategy for achieving carbon neutrality and combating climate-related challenges. Nevertheless, the inherent variability associated with wind and solar energy necessitates heightened operational adaptability when these resources are incorporated into the grid on a large scale. Therefore, ample flexibility resources are needed to provide regulation and track the fluctuations of these unstable power sources and loads. To accurately assess the overall regulation capabilities offered by various flexibility resources, this paper proposes an evaluation model. First, a mathematical model is constructed based on the operational characteristics of flexibility resources, and the regulation performances of different flexibility resources are compared. Then, a coordinated regulation capability evaluation model of source-grid-load-storage is proposed based on big data technology, to assess the adjustable power and ramping power of flexibility resources. Finally, a case study is conducted on a power system in a northern region of China. The regulation range and ramping capability of flexibility resources are determined, and the operational risks of the power system are identified. The proposed models provides a new theoretical framework for the rational evaluation of power system regulation performance, which is profitable to improving the efficiency of renewable energy utilization and realizing environmental value of renewable energy.