Load altering attack-tolerant defense strategy for load frequency control system
Journal Article
·
· Applied Energy
- South China Univ. of Mining and Technology (China)
- Univ. of Tennessee, Knoxville, TN (United States)
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- State Grid Jiangsu Electric Power Co. (China)
- Nanyang Technological Univ. (Singapore)
Cyber attacks are emerging threats to every information-oriented energy management system. By violating the cyber systems, the hacker can disrupt the security and stability due to the strong coupling between the cyber and physical facilities. In this paper, one type of cyber attacks designated as the load altering attack is studied for the power system frequency control, and corresponding defense strategies are proposed to improve the frequency control performance. Considering the difficulty of the application of model-based controller into large-scale power systems, a novel model-free defense framework is for the first time presented. Under this framework, both active defense and passive defense strategies are designed. The former assumes that the defender has the initiative to learn different attack scenarios. Adaptive defense strategies are implemented using the online attack identification information and off-line trained strategy pool. The latter assumes that the defender passively tolerates various attack scenarios via the pre-trained off-line strategy. Both approaches prove to be effective through validation based on the IEEE benchmark systems. The proposed defense framework and defense strategies can be extended to other energy control systems to enhance their attack tolerance capability.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- Grant/Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1710185
- Report Number(s):
- NREL/JA--5D00-78274; MainId:32191; UUID:3b1d5207-c6cb-4dab-b15c-1ec289a96e4e; MainAdminID:18788
- Journal Information:
- Applied Energy, Journal Name: Applied Energy Vol. 280; ISSN 0306-2619
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Multi-Period Fast Robust Optimization for Partial Distributed Generators (DGs) Providing Ancillary Services
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journal | August 2021 |
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