A Knowledge Graph for GIS-Based Operational Resilience Assessment of Electricity Networks Against Climate Scenarios

The existing electricity infrastructures are increasingly challenged by the frequency and intensity of natural adverse events as most of their assets have been built to operate in environmental conditions that are now outdated. Resilience to climate change related events is a new and urgent requirement for infrastructure planning studies, that has led to rethinking the methods and decision support tools commonly used by the electricity operators to address failure scenarios driven by climate factors. Knowledge graphs are a viable technology for integration of data, information and models developed in different scientific fields, such as electricity networks and environmental risk assessments. The paper details the design approach of a knowledge graph to support the resilience analysis process of an electricity network. When linked to a Geographic Information System (GIS) environment, the knowledge graph will support in the configuration of various resilience analysis methods, such as failure forecast and/or simulation. The work is part of the activity line Decision support systems and operational resilience of the Italian project NEST, funded by the PNRR.