Mobile energy storage units are regarded as a critical flexibility resource in power distribution networks. In low-carbon energy systems, they can substitute mobile diesel generators as a back-up power source to small groups of customers after a widespread outage. In this context, this article presents a method for routing and dispatching of mobile storage units aimed at providing a resilient response to severe weather events combining multiple natural hazards in distribution grids. Focused on low voltage distribution network, it uses sources of information typically available in a smart grid and smart city context, such as geographic information systems, road surveillance systems, and smart meter data. Moreover, it represents the interdependence between power and transport infrastructures according to official transport analysis guidance, which determines average speed and travel times to the points of connection to out-of-service customers. The methodology is written as a mixed-integer programming formulation aimed at minimizing the energy not supplied over time subject to spatio-temporal and operating constraints. Furthermore, it is demonstrated in a realistic distribution network in the United Kingdom.

This article presents a methodology aimed at enhancing infrastructure resilience to extreme weather events while ensuring provision of critical services at community level. It describes critical infrastructure systems and services as features of a resilient community, considering that the accessibility to critical services is conditioned to the availability of critical infrastructure systems in different ways. The methodology is written as a mixed-integer linear programming model. The selection of appropriate planning and operational measures for resilience enhancements is made with the objective of ensuring provision of critical services under severe weather conditions subject to technical operating constraints. Furthermore, the methodology is demonstrated in a realistic setting in Stockport, UK, with an impact assessment of disruptions to power and transportation infrastructure systems caused by flooding on the provision of distinct critical services.