Abstract

Natural disasters like hurricanes, floods or earthquakes can damage power grid devices and create cascading blackouts and islands. The nature of failure propagation and extent of damage, among other factors, is dependent on the structural features of the grid, that are distinct from that of random networks. This paper analyzes the structural vulnerability of real power grids to impending disasters and presents intuitive graphical metrics to quantify the extent of topological damage. We develop two improved graph eigen-value based bounds on the grid vulnerability. Further we study adversarial attacks aimed at weakening the grid’s structural robustness and present three combinatorial algorithms to determine the optimal topological attack. Simulations on power grid networks and comparison with existing work show the improvements of the proposed measures and attack schemes.

Highlights

  • The structure of the power grid is an important feature that affects the delivery of electricity [1]

  • There is a greater need to quantify the effect of the grid structure on failure propagation in the grid following a natural disaster and to incorporate the insights gained into transmission planning techniques to improve grid resilience

  • We focus on power grid failures induced by large natural disasters like hurricanes and earthquakes that create disconnected islands in the grid

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Summary

Introduction

The structure of the power grid is an important feature that affects the delivery of electricity [1]. We consider all approaches (eigen perturbation, iterative eigen perturbation and trace minimization) for determining the optimal kmax edges to minimize the largest eigenvalue of the adjacency matrix of the grid graph and thereby reduce the resilience of the grid to natural disasters. These plots highlight the benefit derived from utilizing the structural information of the network in studying the vulnerable components of the grid

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