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Extreme weather events can cause significant damage to power distribution network infrastructure, often resulting in power outages. Distribution Network Operators (DNOs) are faced with the challenging task of responding to these outages in real time while maintaining a resilient grid. Our paper presents an innovative approach to alert operators about the potential risk associated with upcoming extreme weather through a normalized fragility curve. The uniqueness of the curve is the ability to capture regional differences across a DNO's territory while presenting operators with a means of setting unified risk thresholds. This can support a proactive response and allow the staging of necessary resources to minimize the threat posed by such events. Our approach captures the changes in failure probability associated with differing wind regimes and demonstrates the benefit of sub‐regional meteorological information. The proposed approach is demonstrated for wind events using 20 years of historical fault records from a DNO in the United Kingdom (UK). While its efficacy is demonstrated for windstorms in the UK, the approach could be applied globally to develop normalized fragility curves for other types of seasonal extreme weather events such as snowstorms, hurricanes, or linked hazards such as wildfires. The approach can also facilitate an understanding of how infrastructure may operate under future climate conditions, supporting proactive adaptation. [ABSTRACT FROM AUTHOR]

'Critical infrastructure' generally refers to significant pieces of plant and equipment, such as power stations and motorways. High population densities in cities, and the increasing interconnectedness of the services and supply chains that sustain them, mean local infrastructure is equally important. Local infrastructure must be able to cope with system shocks, whether from natural hazards, terrorism or catastrophic failures. Engineering design plays a major part in achieving this, but shocks will occur that overwhelm even the most conservative design. Local infrastructure must therefore be able to adapt to, and recover from, shocks: it must be resilient. Local infrastructure has evolved with little consideration for resilience of the interconnected system as a whole, whereas resilience has been the subject of much research in many other systems. This paper explores the lessons that local infrastructure can learn from such research by reviewing literature related to resilience of ecological, economic, physical infrastructure, community/social and government systems. A critical analysis highlights the factors affecting resilience and different approaches that need to be taken into account when attempting to model infrastructure at a local scale. The ultimate aim is to provide an evidence base on which to build resilience into various infrastructures and direct future local infrastructure resilience research in an age of austerity. [ABSTRACT FROM AUTHOR]