Synchronized-ambient-data-driven participation-factor-based generation rescheduling strategy for enhancing the damping level of interconnected power systems

Abstract

Participation factor (PF) is widely used in assisting the selection of critical rescheduled generators in re-dispatching issues. The conventional PF relies heavily on the detailed system model and is commonly limited to quantifying the participation degree of system state variables in electromechanical mode. In this paper, the PF with respect to generator active power is presented by employing LQ-decomposition based recursive sub-DMD (Rsub-DMD) from synchrophasor ambient data. The proposed participation factor directly quantifies the relationship between the mode damping and generator outputs with the ability to track system operation conditions, thereby identifying the most effective re-dispatching generators online. Then a general online generation rescheduling strategy integrated with the proposed PF is applied for enhancing critical damping. The proposed PF-assisted rescheduling strategy is ambient data oriented, and the developed scheme enables online damping enhancement of critical mode. The effectiveness of the PF-assisted selection of rescheduled generators and the proposed rescheduling strategy has been demonstrated via numerical simulation and simplified China Northern system model cases.