Search

Modern society heavily depends on electricity for vital services, delivered to final users by Distribution Systems (DSs). Since DSs are exposed to permanent faults that can cause the non-supply of electricity to large areas, increases in their resilience have been a growing concern of researchers, public agents, and society. This paper proposes a methodology for analyses of two important metrics for resilience assessment, namely vulnerability and recovery capacity of real DSs for permanent faults (single and multiple faults). The methodology quantifies the single and multiple faults' probability of occurrence for estimating the DS vulnerability and the system's capacity to deal with the impacts of permanent faults through the Service Restoration (SR) process. It comprises a statistical analysis for finding the faults probabilities and a multi-objective evolutionary algorithm for solving the SR problem for large-scale DSs. The results from its application to a real large-scale Brazilian DS, composed of 49,938 buses, 4771 switches, 9 substations, and 95 feeders are provided. The study shares valuable utility experience towards new insights and on challenges faced in the real-time operation of a Brazilian DS. [ABSTRACT FROM AUTHOR]