Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

14 Scopus Citations
View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)133-143
Number of pages11
Journal / PublicationIEEE Journal on Emerging and Selected Topics in Circuits and Systems
Volume11
Issue number1
Online published22 Oct 2020
Publication statusPublished - Mar 2021

Abstract

The highly intricate inter-connectivity and ever expanding scale of modern power grids have raised serious concerns on security and vulnerability of power grids. Much of the recent study on the vulnerability of power grids to cascading failure has focused on the structural changes or functional damage of the system, and results from previous studies often draw inconsistent and even contradictory conclusions. In this paper, the causes of these diverse and inconsistent results relating to structural and functional damages have been identified. In addition, the system’s vulnerability to cascading failure is studied from an attacker’s perspective, and a node attack strategy maximizing structural and functional damage is considered. Specifically, the problem of finding the optimal node attack strategy is formulated as a multi-objective optimization problem, and evolutionary algorithms are used to generate optimal solutions. Simulation results on four benchmark test systems show significant advantages of the proposed algorithms over heuristic and single-objective methods, and give important insights on identifying the critical nodes affecting vulnerability of power grids.

Research Area(s)

  • cascading failure, critical nodes identification, multi-objective optimization, power grids, vulnerability

Citation Format(s)