抄録
With the global shift toward cleaner and low-carbon energy systems, Multi-Energy Systems (MES)—which integrate electricity, heat, gas, and other energy carriers—are emerging as a key foundation of the new energy paradigm. Due to strong physical and control-layer couplings across subsystems, MES stability involves high complexity and dynamic uncertainty, which limits the applicability of conventional power system stability theories and necessitates methodological innovation. This paper reviews recent advances in MES integrated stability from three perspectives. First, it discusses dynamic modeling approaches, including modular, hybrid physical–cyber, and data-driven methods. Second, it summarizes stability analysis techniques such as small-signal and transient stability, along with multi-timescale coupled modeling and solution methods. Third, it examines coordinated control strategies, including hierarchical control, source–load–network coordination, demand-side response, and intelligent control methods such as reinforcement learning. The roles of big data and artificial intelligence in state awareness, stability assessment, and adaptive control are also highlighted. Key challenges are identified in the depth of theoretical modeling, understanding coupling mechanisms, and managing uncertainty. Finally, future directions—such as multi-scale modeling theories, cross-domain coupling characterization, and robustness-oriented control strategies—are outlined to guide the secure and efficient development of next-generation MES.
