This paper provides a systematic review on the resilience analysis of active distribution networks (ADNs) against hazardous weather events, considering the underlying cyber–physical interdependencies. As cyber–physical systems, ADNs are characterized by widespread structural and functional interdependencies between cyber (communication, computing, and control) and physical (electric power) subsystems and thus present complex hazardous-weather-related resilience issues. To bridge current research gaps, this paper first classifies diverse hazardous weather events for ADNs according to different time spans and degrees of hazard, with model-based and data-driven methods being utilized to characterize weather evolutions. Then, the adverse impacts of hazardous weather on all aspects of ADNs’ sources, physical/cyber networks, and loads are analyzed. This paper further emphasizes the importance of situational awareness and cyber–physical collaboration throughout hazardous weather events, as these enhance the implementation of preventive dispatches, corrective actions, and coordinated restorations. In addition, a generalized quantitative resilience evaluation process is proposed regarding additional considerations about cyber subsystems and cyber–physical connections. Finally, potential hazardous-weather-related resilience challenges for both physical and cyber subsystems are discussed.

This paper provides a systematic review on the resilience analysis of active distribution networks (ADNs) against hazardous weather events, considering the underlying cyber–physical interdependencies. As cyber–physical systems, ADNs are characterized by widespread structural and functional interdependencies between cyber (communication, computing, and control) and physical (electric power) subsystems and thus present complex hazardous-weather-related resilience issues. To bridge current research gaps, this paper first classifies diverse hazardous weather events for ADNs according to different time spans and degrees of hazard, with model-based and data-driven methods being utilized to characterize weather evolutions. Then, the adverse impacts of hazardous weather on all aspects of ADNs’ sources, physical/cyber networks, and loads are analyzed. This paper further emphasizes the importance of situational awareness and cyber–physical collaboration throughout hazardous weather events, as these enhance the implementation of preventive dispatches, corrective actions, and coordinated restorations. In addition, a generalized quantitative resilience evaluation process is proposed regarding additional considerations about cyber subsystems and cyber–physical connections. Finally, potential hazardous-weather-related resilience challenges for both physical and cyber subsystems are discussed.