Title :
Resilience Analysis of Power Grids Under the Sequential Attack
Author :
Yihai Zhu ; Jun Yan ; Yufei Tang ; Sun, Yan Lindsay ; Haibo He
Author_Institution :
Dept. of Electr., Comput., & Biomed. Eng., Univ. of Rhode Island, Kingston, RI, USA
Abstract :
The modern society increasingly relies on electrical service, which also brings risks of catastrophic consequences, e.g., large-scale blackouts. In the current literature, researchers reveal the vulnerability of power grids under the assumption that substations/transmission lines are removed or attacked synchronously. In reality, however, it is highly possible that such removals can be conducted sequentially. Motivated by this idea, we discover a new attack scenario, called the sequential attack, which assumes that substations/transmission lines can be removed sequentially, not synchronously. In particular, we find that the sequential attack can discover many combinations of substation whose failures can cause large blackout size. Previously, these combinations are ignored by the synchronous attack. In addition, we propose a new metric, called the sequential attack graph (SAG), and a practical attack strategy based on SAG. In simulations, we adopt three test benchmarks and five comparison schemes. Referring to simulation results and complexity analysis, we find that the proposed scheme has strong performance and low complexity.
Keywords :
power grids; power transmission lines; power transmission reliability; substations; catastrophic consequences; complexity analysis; electrical service; power grids vulnerability; resilience analysis; sequential attack; sequential attack graph; substation-transmission lines; Complexity theory; Power grids; Power system protection; Power system security; Power transmission lines; Substations; Attack Strategies; Cascading Failures; Power Grid Security; Power grid security; attack strategies; cascading failures;
Journal_Title :
Information Forensics and Security, IEEE Transactions on
DOI :
10.1109/TIFS.2014.2363786