Adaptive Event-Triggered Load Frequency Control for Multi-Area Power Systems Against Mixed Cyber-Attacks

IF 9.8 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Smart Grid Pub Date : 2024-11-06 DOI:10.1109/TSG.2024.3492995
Yajuan Liu;Zhihao Yuan;Dong Xu;Xiangpeng Xie;Ju H. Park
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Abstract

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 $H_{\infty }$ index. At last, a three-area power system is tested to verify the effectiveness of the designed control scheme.
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针对混合网络攻击的多区域电力系统自适应事件触发负载频率控制
针对同时存在非周期拒绝服务(ADoS)和欺骗攻击的多区域电力系统,提出了自适应事件触发机制(AETM)负荷频率控制(LFC)问题。为了提高ADoS攻击时的通信效率,提出了一种自动调整触发阈值的AETM。与现有的ADoS攻击不同,提出了一种新的攻击模型,将整个ADoS攻击周期划分为四个时间段,即休息时间段、连续检测时间段、残差时间段和主动攻击时间段。在此模型的基础上,将闭环系统作为一个时间间隔积分的三模式切换系统,引入一个统一的框架来处理AETM、欺骗攻击和ADoS攻击。构造了时变分段Lyapunov函数,得到了指数为$H_{\infty }$的闭环系统指数稳定的充分条件。最后,对三区电力系统进行了测试,验证了所设计控制方案的有效性。
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来源期刊
IEEE Transactions on Smart Grid
IEEE Transactions on Smart Grid ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
22.10
自引率
9.40%
发文量
526
审稿时长
6 months
期刊介绍: The IEEE Transactions on Smart Grid is a multidisciplinary journal that focuses on research and development in the field of smart grid technology. It covers various aspects of the smart grid, including energy networks, prosumers (consumers who also produce energy), electric transportation, distributed energy resources, and communications. The journal also addresses the integration of microgrids and active distribution networks with transmission systems. It publishes original research on smart grid theories and principles, including technologies and systems for demand response, Advance Metering Infrastructure, cyber-physical systems, multi-energy systems, transactive energy, data analytics, and electric vehicle integration. Additionally, the journal considers surveys of existing work on the smart grid that propose new perspectives on the history and future of intelligent and active grids.
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