Resilience Framework, Methods, and Metrics for the Prioritization of Critical Electrical Grid Customers

One of the main objectives of new operating regimes, such as transactional power systems, is to make the power grid more resilient to catastrophes and disturbances, while at the same time making it possible to supply electricity to the largest number of customers. Although this is true, it is well known among power system operators that not all customers are the same. The consequence of this is that any discussion around the impact of transactional power systems on power system resilience should consider the needs of its critical users (such as control centers, fire stations, and hospitals) over other users. In assessing power system resilience, a metric is needed that gives bonus points to those systems that, under all circumstances, can continue to provide electricity to their critical users. In order to serve as a parameter in the assessment of power grid resilience, the research presented here discusses the proportion of critical loads existing in critical infrastructures. Once the critical loads are characterized, the next step is the inclusion of these loads in resilience metrics. This paper proposes resiliency metrics in which certain customers (those categorized as critical) are assigned a higher weight than others. One thing to keep in mind is the fact that there is no one-size-fits-all approach for all power systems, and that the assignment of such weights to customers can vary significantly from one operator to another based on their unique systems and the current and expected states of their critical customers.

Automated summary

The main objective of new operating regimes is to enhance the resilience of the power grid while ensuring electricity supply for the maximum number of customers. However, power system operators need to prioritize critical users, such as control centers, fire stations, and hospitals, when assessing the impact of transactional power systems on resilience. This paper proposes resilience metrics that assign higher weight to critical customers and highlights the importance of considering each operator's unique system and critical customers' conditions.