Coordinating system operation modes and frequency regulation support (FRS) characteristics can enhance renewable energy integration while ensuring system frequency stability. However, the frequency support capacity (FSC) of source-storage systems exhibits time-varying characteristics due to differences in equipment conditions, and system dispatch decisions also impact this FSC, complicating the accurate quantification of the security of FSR units in system scheduling. To address this, a coupled interdependent mechanism model between source-storage FSC and system decision variables is developed. Based on this model, an FSC interdependence-based unit commitment and frequency support characteristics integrated scheduling (FIB-UCFCS) model is proposed. A two-layer iterative solution strategy, incorporating Kriging-assisted surrogate modeling, is introduced to improve computational efficiency. Case study results demonstrate that the method effectively utilizes the FSCs of wind farms (WFs) and energy storage stations (ESSs), reduces thermal power unit (TPU) operation, and ensures system frequency stability.
Zhai et al. (Mon,) studied this question.