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跨层随机拒绝服务攻击下电力系统的弹性分布式模糊负荷频率调节

Resilient Distributed Fuzzy Load Frequency Regulation for Power Systems Under Cross-Layer Random Denial-of-Service Attacks.

作者信息

Hu Zhijian, Liu Shichao, Luo Wensheng, Wu Ligang

出版信息

IEEE Trans Cybern. 2022 Apr;52(4):2396-2406. doi: 10.1109/TCYB.2020.3005283. Epub 2022 Apr 5.

DOI:10.1109/TCYB.2020.3005283
PMID:32697734
Abstract

In this article, a novel distributed fuzzy load frequency control (LFC) approach is investigated for multiarea power systems under cross-layer attacks. The nonlinear factors existing in turbine dynamics and governor dynamics as well as the uncertain parameters therein are modeled and analyzed under the interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy framework. The cross-layer attacks threatening the stability of power systems are considered and modeled as an independent Bernoulli process, including denial-of-service (DoS) attacks in the cyber layer and phasor measurement unit (PMU) attacks in the physical layer. By using the Lyapunov theory, an area-dependent Lyapunov function is proposed and the sufficient conditions guaranteeing the system's asymptotically stability with the area control error (ACE) signals satisfying H performance are deduced. In simulations, we adopt a four-area power system to verify the resiliency enhancement of the presented distributed fuzzy control strategy against random cross-layer DoS attacks. Results show that the designed resilient controller can effectively regulate the load frequency under different cross-layer DoS attack probabilities.

摘要

本文研究了一种针对跨层攻击下多区域电力系统的新型分布式模糊负荷频率控制(LFC)方法。在区间二型(IT2)Takagi-Sugeno(T-S)模糊框架下,对汽轮机动力学和调速器动力学中存在的非线性因素及其不确定参数进行了建模和分析。考虑了威胁电力系统稳定性的跨层攻击,并将其建模为一个独立的伯努利过程,包括网络层的拒绝服务(DoS)攻击和物理层的相量测量单元(PMU)攻击。利用李雅普诺夫理论,提出了一种与区域相关的李雅普诺夫函数,并推导了保证系统在区域控制误差(ACE)信号满足H性能时渐近稳定的充分条件。在仿真中,我们采用一个四区域电力系统来验证所提出的分布式模糊控制策略对随机跨层DoS攻击的弹性增强。结果表明,所设计的弹性控制器能够在不同的跨层DoS攻击概率下有效地调节负荷频率。

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