Secure Sampled-Data Observer-Based Control for Wind Turbine Oscillation Under Cyber Attacks
Secure Sampled-Data Observer-Based Control for Wind Turbine Oscillation Under Cyber Attacks
复制标题
基于采样数据观察器的网络攻击下风力涡轮机振荡的安全控制
DOI：
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发表时间：
2022
影响因子：
9.6
通讯作者：
K. Plataniotis
中科院分区：
文献类型：
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作者：
Amir Amini;Mohsen Ghafouri;Arash Mohammadi;Ming Hou;A. Asif;K. Plataniotis
受最近可再生能源安全分析的兴趣激增的启发，本文提出了一种针对大型风电场（WP）的网络弹性控制框架，以抵御拒绝服务（DoS）和欺骗攻击。首先建立了基于双馈感应发电机（DFIG）的WP的详细信息物理模型。结果表明，WP是一个稳定的问题，被称为次同步相互作用（SSI）。此外，两种网络威胁形式的拒绝服务和欺骗攻击试图从次同步的角度来破坏WP。为了稳定的WP下的SSI现象和这些网络攻击，提出了一种基于模糊控制方案，它只需要周期性的输出样本。使用回路李雅普诺夫泛函（LLF）方法的稳定性分析，控制和观测器的增益计算从一些线性矩阵不等式（LMI）条件的解决方案。所提出的设计框架允许包括所需水平的网络弹性拒绝服务和欺骗攻击计算适当的控制和观察员增益。所提出的控制器对所考虑的威胁的有效性证明通过使用EMTP-RV软件和联合仿真平台进行电磁暂态（EMT）模拟。
Inspired by the recent surge of interest in security analysis of renewable energies, this article proposes a cyber resilient control framework for large-scale wind parks (WPs) against denial of service (DoS) and deception attacks. A detailed cyber-physical model for a doubly-fed induction generator (DFIG)-based WP is first developed. It is shown that the WP is subject to a stability issue known as the sub-synchronous interaction (SSI). Additionally, two cyber threats in the forms of DoS and deception attack attempt to destabilize the WP from the subsynchronous perspective. To stabilize the WP under the SSI phenomenon and these cyber attacks, an observer-based fuzzy control scheme is proposed which requires only periodic samples of the output. Using a looped-Lyapunov functional (LLF) method for stability analysis, the control and observer gains are computed from the solution of some linear matrix inequality (LMI) conditions. The proposed design framework allows including the desired level of cyber resilience to DoS and deception attacks for computing proper control and observer gains. The effectiveness of the proposed controller against the considered threats is demonstrated via electromagnetic transient (EMT) simulations performed using the EMTP-RV software and a co-simulation platform.