近期，实验室博士生胡志坚作为第一作者，导师吴立刚教授作为通讯作者的论文“Resilient Distributed Fuzzy Load Frequency Regulation for Power Systems Under Cross-Layer Random Denial-of-Service Attacks”已被控制领域权威期刊IEEE Transactions on Cybernetics录用。

论文针对跨层拒绝服务攻击下的多区域电力系统，研究了一种分布式模糊负载频率控制方法。在区间二型模糊框架下，对涡轮机与调速器动力学模型中存在的非线性因素及其不确定性参数进行建模和分析。跨层攻击包括网络层的拒绝服务攻击和物理层的相量测量单元攻击。利用李雅普诺夫理论，提出了基于区域依赖的李雅普诺夫函数，并推导出了保证系统渐近稳定的充分条件，使区域控制误差信号满足鲁棒性能要求。仿真结果表明，所设计的弹性控制器能有效调节不同跨层拒绝服务攻击概率下的负载频率。

Abstract

In this paper, a novel distributed fuzzy load frequency control (LFC) approach is investigated for multi-area 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 independent Bernoulli process, including denial-of-service (DoS) attacks in cyber layer and phasor measurement unit (PMU) attacks in 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 robust 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.