服务拒绝攻击
计算机科学
控制器(灌溉)
事件(粒子物理)
带宽(计算)
实时计算
网络数据包
能量(信号处理)
计算机安全
计算机网络
数学
统计
操作系统
互联网
物理
生物
量子力学
农学
作者
Xingyue Liu,Kaibo Shi,Kun Zhou,Shiping Wen,Yiqian Tang,Lin Tang
标识
DOI:10.1016/j.fraope.2023.100012
摘要
In this work, the event-triggering-based resilient H∞ load frequency control (LFC) scheme under denial-of-service (DoS) attacks is developed for multi-area cyber–physical power system (MA-CPPS) with electric vehicles (EVs). In MA-CPPS, the sampled measurements are transmitted through the communication network, which may be subjected to the energy-limited DoS attack with a resilient index of maximum allowable continuous data losses. Meanwhile, a novel adaptive event-triggering mechanism (AETM) characterized by parameters disturbances and dynamic adjustment mechanism of triggering threshold can effectively reduce the occupation of network bandwidth and computational burden in practical operation of sampled-data LFC in MA-CPPS. Hence a sampled-data LFC model of considering energy-limited DoS attack and AETM is established firstly. Then based on a novel AETM transmission interval-dependent loop functional approach, a resilient H∞ state-feedback controller is designed with guaranteed H∞ performance and resilient index of energy-limited DoS attack. Finally, the effectiveness and superiority of our proposed scheme are verified by one-area and three-areas LFC CPPS.
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