Enhancing Distribution System Resilience via Adaptive Control Mode Switching of Soft Open Points

Extreme weather events pose severe threats to the secure operation of new distribution systems. Although Soft Open Points (SOPs) are increasingly recognized for their flexibility, existing post-disaster restoration models often treat them as idealized power transfer channels, neglecting their comprehensive power electronic characteristics under extreme conditions. To bridge this research gap, this paper first proposes a novel mathematical model of SOPs that rigorously characterizes their inherent power electronic dynamics. By formulating these characteristics, the model captures both the instantaneous fault-blocking response for precise electrical isolation at the moment of impact and the adaptive control mode transitions for voltage support within load islands and inter-feeder power regulation throughout the recovery process. Subsequently, a multi-resource coordinated recovery strategy driven by these power electronic behaviors is developed within a two-stage framework, consisting of the resist and response stage and the restoration stage. This strategy achieves deep operational synergy among SOPs, distributed generators (DGs), remote-controlled switches (RCSs), and circuit breakers (CBs). Simulation results on a modified IEEE 70-node system verify that the proposed strategy effectively resists fault impacts, minimizes the fault-affected area, and minimizes load shedding losses, significantly enhancing overall resilience compared to traditional methods.