Improved resilience measure for component recovery priority in power grids

Given the complexity of power grids, the failure of any component may cause large-scale economic losses. Consequently, the quick recovery of power grids after disasters has become a new research direction. Considering the severity of power grid disasters, an improved power grid resilience measure and its corresponding importance measures are proposed. The recovery priority of failed components after a disaster is determined according to the influence of the failed components on the power grid resilience. Finally, based on the data from the 2019 Power Yearbook of each city in Shandong Province, China, the power grid resilience after a disaster is analyzed for two situations, namely, partial components failure and failure of all components. Result shows that the recovery priorities of components with different importance measures vary. The resilience evaluations under different repair conditions prove the feasibility of the proposed method.

Automated summary

A new research direction has emerged to quickly recover power grids after disasters due to the complexity of power grids and the potential for large-scale economic losses from component failures. This study proposes an improved measure of power grid resilience and the corresponding importance measures for prioritizing the recovery of failed components post-disaster. Analyzing data from the 2019 Power Yearbook of cities in Shandong Province, China, the study demonstrates varying recovery priorities for components with different importance measures, thus proving the feasibility of the proposed method to evaluate power grid resilience under different repair conditions.