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Dynamic Evaluation of Electricity Distribution Lines to Speed Up the Fault Repairs

Abstract Natural disaster blackouts lead to dissatisfaction among electricity customers. When a natural disaster or high-impact and low-probability disasters like a storm or an earthquake happens, the electricity network assets may be damaged. To increase resilience, it is essential to prioritize damaged assets so that the lost loads, especially critical ones, can be restored faster. Predicting the number of repair teams during critical times contributes to restoring the network to the initial resilience level. This paper discusses the prioritization of electricity supply lines for evaluating the number of required repair teams. So, the economic value of distribution system lines has been considered a criterion representing the network’s sensitivity to hurricanes. The results show the lines located at the end of the network ranked lowest in the prioritization. Also, the relatively dispersed evaluation shows the necessity of attention to repairing teams, which must move fast to speed up the load restoration process. A list of line priorities for fault resolution is provided, in which the topology factor has a larger effect. The number of repair teams required to restore critical and essential loads is determined by this model. This modeling has been tested on an IEEE 33-bus network.