Campus Units

Electrical and Computer Engineering

Document Type

Article

Publication Date

9-2015

Journal or Book Title

Journal of Modern Power Systems and Clean Energy

Volume

3

Issue

3

First Page

321

Last Page

331

DOI

10.1007/s40565-015-0145-8

Abstract

Cyber threats are serious concerns for power systems. For example, hackers may attack power control systems via interconnected enterprise networks. This paper proposes a risk assessment framework to enhance the resilience of power systems against cyber attacks. The duality element relative fuzzy evaluation method is employed to evaluate identified security vulnerabilities within cyber systems of power systems quantitatively. The attack graph is used to identify possible intrusion scenarios that exploit multiple vulnerabilities. An intrusion response system (IRS) is developed to monitor the impact of intrusion scenarios on power system dynamics in real time. IRS calculates the conditional Lyapunov exponents (CLEs) on line based on the phasor measurement unit data. Power system stability is predicted through the values of CLEs. Control actions based on CLEs will be suggested if power system instability is likely to happen. A generic wind farm control system is used for case study. The effectiveness of IRS is illustrated with the IEEE 39 bus system model.

Comments

This article is from Journal of Modern Power Systems and Clean Energy 3 (2015): 321, 10.1007/s40565-015-0145-8. Posted with permission.

Rights

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright Owner

The Authors

Language

en

File Format

application/pdf

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