抄録
With the increasing integration of high-proportion renewable energy, the growing penetration of power electronic devices, and the deep coupling of multi-energy systems, power system stability is exhibiting new characteristics such as enhanced nonlinearity, multi-scale interactions, and cross-domain coupling, posing unprecedented challenges to traditional analytical approaches. This paper systematically reviews five key frontier directions in the research on power system stability in the context of emerging power systems: (1) dynamic stability mechanisms and evolutionary patterns under high-proportion renewable energy scenarios; (2) multi-source disturbance identification and rapid response coordination control based on artificial intelligence; (3) cross-domain coupling and synergistic stability analysis methods in multi-energy complementary systems; (4) resilience-oriented distributed self-healing reconfiguration and coordinated control strategies for microgrid clusters; and (5) accurate multi-spatiotemporal scale stability modeling and cyber-physical fusion simulation based on digital twins. The findings are expected to support the transformation of power systems from traditional passive response modes to a new paradigm of proactive cognition, autonomous regulation, and intelligent coordination, enhancing system security, resilience, and intelligence, and providing theoretical and technological foundations for the low-carbon transition of energy and power systems.
