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Memory-Event-Triggered $H_{\infty }$ Load Frequency Control of Multi-Area Power Systems With Cyber-Attacks and Communication Delays
IEEE Transactions on Network Science and Engineering ( IF 6.7 ) Pub Date : 2021-03-09 , DOI: 10.1109/tnse.2021.3064933
Shen Yan , Zhou Gu , Ju H. Park

This article focuses on $H_{\infty }$ load frequency control (LFC) of multi-area power systems with cyber-attacks and communication delays by a memory-event-triggered mechanism (METM). The dynamics of power system components, such as governor, turbine and power generator, are imitated by some circuit systems. To save the precious network bandwidth, a METM is constructed to decide which measured data should be transmitted as the control signal. In contrast to some memoryless ETMs, the proposed METM uses historic data over a fixed period. To guarantee no Zeno behavior, a positive constant time is waited after each trigger happens. By treating the exchanges of tie-line power between the $i$ th control area and other areas as exogenous disturbances, a novel decentralized distributed delay system is modeled to represent the decentralized $H_{\infty }$ LFC of a multi-area power system under the proposed METM with deception attacks and communication delays. By selecting a Lyapunov-Krasovskii functional (LKF) based on the distributed delay terms, new sufficient criterions are obtained to co-design the $H_{\infty }$ LFC controller and triggering parameters for power systems against deception attacks. Finally, the advantages of the presented method is shown via an illustrative case.

中文翻译:


具有网络攻击和通信延迟的多区域电力系统的内存事件触发 $H_{\infty }$ 负载频率控制



本文重点介绍通过内存事件触发机制 (METM) 进行网络攻击和通信延迟的多区域电力系统的 $H_{\infty }$ 负载频率控制 (LFC)。调速器、水轮机、发电机等电力系统部件的动态特性是通过一些电路系统来模拟的。为了节省宝贵的网络带宽,构建了 METM 来决定应将哪些测量数据作为控制信号传输。与一些无记忆 ETM 相比,所提出的 METM 使用固定时期内的历史数据。为了保证没有 Zeno 行为,每次触发发生后都会等待一个正的常数时间。通过将第 i$ 个控制区域与其他区域之间的联络线电力交换视为外生扰动,建立了一种新颖的分散式分布式延迟系统模型,以表示多区域电力的分散式 $H_{\infty }$ LFC所提出的 METM 下的系统存在欺骗攻击和通信延迟。通过基于分布式延迟项选择李雅普诺夫-克拉索夫斯基泛函(LKF),获得了新的充分准则来共同设计 $H_{\infty }$ LFC 控制器和电力系统针对欺骗攻击的触发参数。最后,通过一个说明性案例展示了所提出方法的优点。
更新日期:2021-03-09
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