Adaptive Event-Triggered Load Frequency Control for Multi-Area Power Systems Against Mixed Cyber-Attacks
This article proposes the adaptive event-triggered mechanism (AETM) load frequency control (LFC) problem for multi-area power systems with aperiodic denial-of-service (ADoS) and deception attacks simultaneously. An AETM that automatically adjusts the trigger threshold is developed to improve the communication efficiency during ADoS attacks. Different from existing ADoS attacks, a novel attack model is proposed, where the whole ADoS attack period is divided into four intervals, that is, rest intervals, continuous detection intervals, residual intervals, and active-attack intervals. Based on this ADoS attack model, the closed-loop system, which can be seen as a three-mode switched system by integrating time intervals, is introduced in a unified framework to handle the AETM, deception attacks and ADoS attacks. Time-varying segmented Lyapunov functions are constructed and some sufficient conditions are obtained to ensure exponential stability of closed-loop systems with <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> index. At last, a three-area power system is tested to verify the effectiveness of the designed control scheme.
Authors
- Ju H. Park (ORCID: https://orcid.org/0000-0002-0218-2333)
- Zhihao Yuan (ORCID: https://orcid.org/0000-0003-1495-7092)
- Dong Xu (ORCID: https://orcid.org/0000-0002-9967-0869)
- Xiangpeng Xie (ORCID: https://orcid.org/0000-0003-4822-3134)
- Yajuan Liu (ORCID: https://orcid.org/0000-0003-4986-8890)
Institutions
- North China Electric Power University (CN)
- Nanjing University of Posts and Telecommunications (CN)
- Yeungnam University (KR)
Publication Details
- Journal
- IEEE Transactions on Smart Grid
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1109/tsg.2024.3492995
- Citations
- 8
- Primary Topic
- Frequency Control in Power Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.67
Funders
- National Natural Science Foundation of China