Reliable Control of Wind Power Systems Under Frequency-Based Deception Attacks: AMD Event-Triggered Strategy

IF 5.7 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Transactions on Reliability Pub Date : 2024-03-31 DOI:10.1109/TR.2024.3384063
Siwei Qiao;Xinghua Liu;Gaoxi Xiao;Peng Wang;Shuzhi Sam Ge
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Abstract

A reliable adaptive-memory-derivative (AMD) event-triggered quantized sliding mode load frequency control (QSMLFC) method is proposed for the multiarea interconnected wind power system under frequency-based deception attacks. An AMD event-trigger scheme is proposed to promote the wind power system operation while saving the network resources, and the reliable AMD event-triggered QSMLFC method aims to reduce the frequency deviations of the interconnected wind power systems. A frequency-based deception attack model is developed for analyzing the security issues in network communications for wind power systems. The hysteresis quantizer is used to lower the communication rate. To validate the correctness of the control method, a sufficient reliability criterion is derived to prove the applicability of the AMD event-triggered QSMLFC. Three numerical examples and an IEEE 39-bus system simulation are presented to demonstrate that the reliable AMD event-triggered QSMLFC method can provide satisfactory stability performance for the wind power system under frequency-based deception attacks.
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基于频率的欺骗攻击下风力发电系统的可靠控制:AMD 事件触发策略
针对基于频率欺骗攻击的多区域互联风电系统,提出了一种可靠的自适应记忆导数(AMD)事件触发量化滑模负荷频率控制方法。提出了一种AMD事件触发方案,在节约网络资源的同时促进风电系统的运行,提出了可靠的AMD事件触发QSMLFC方法,旨在减少互联风电系统的频率偏差。针对风电系统网络通信安全问题,提出了一种基于频率的欺骗攻击模型。采用迟滞量化器来降低通信速率。为了验证控制方法的正确性,推导了一个足够的可靠性准则来证明AMD事件触发QSMLFC的适用性。通过三个算例和一个IEEE 39总线系统仿真,验证了基于AMD事件触发的可靠QSMLFC方法能够为风电系统在基于频率的欺骗攻击下提供满意的稳定性能。
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来源期刊
IEEE Transactions on Reliability
IEEE Transactions on Reliability 工程技术-工程:电子与电气
CiteScore
12.20
自引率
8.50%
发文量
153
审稿时长
7.5 months
期刊介绍: IEEE Transactions on Reliability is a refereed journal for the reliability and allied disciplines including, but not limited to, maintainability, physics of failure, life testing, prognostics, design and manufacture for reliability, reliability for systems of systems, network availability, mission success, warranty, safety, and various measures of effectiveness. Topics eligible for publication range from hardware to software, from materials to systems, from consumer and industrial devices to manufacturing plants, from individual items to networks, from techniques for making things better to ways of predicting and measuring behavior in the field. As an engineering subject that supports new and existing technologies, we constantly expand into new areas of the assurance sciences.
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