A stochastic accommodation rate-constrained robust scheduling for renewable power systems

The large-scale integration of wind power generation (WPG) has brought significant accommodation challenges to power systems. To properly reconcile the accommodation level with economic performance, this paper proposes a novel robust scheduling method for WPG integrated power systems to proactively govern the accommodation level through a stochastic accommodation rate (SAR) constraint. This method introduces a dynamic uncertainty set (DUS) to characterize the admissible range of uncertain WPG, and proposes a SAR indicator to quantify the accommodation level. Based on the DUS, a flexibility-enhanced operation strategy is formulated. Most critically, the formula of the SAR indicator is derived based on the DUS and the probability distribution of uncertain WPG, and this formula's concavity is strictly proved based on the Riemann integral theory, enabling the linearized relaxation of the SAR constraint in the robust scheduling. Moreover, a practical SAR calculation approach is developed with higher computational efficiency compared with the direct calculation method. Comprehensive numerical simulations conducted on an illustrative example and several power systems validate the superiority of the proposed scheduling method.