Dynamic Event-Triggered H∞ Load Frequency Control for Multi-Area Power Systems Subject to Hybrid Cyber Attacks

Abstract

This article aims at designing a dynamic eventtriggered H ∞ load frequency controller for multi-area power systems affected by false data-injection attacks and denial-ofservice attacks. A dynamic event-triggered scheme, whose threshold parameter varies with objective system states, is employed to make rational use of limited network bandwidth resources and improve the efficiency of the data utilization. Then, taking the impacts of the aforementioned hybrid cyber attacks into consideration, an attractive system model is established. Whereafter, several sufficient conditions, which can guarantee the exponential mean-square stability with a preset H ∞ performance index of the studied system, are obtained through utilizing Lyapunov stability theory. Additionally, the desired controller is designed via handling convex optimization problems. Finally, a simulation example is displayed to explain the validity of the proposed method.

Robust time‐varying formation control for uncertain multi‐agent systems with communication delays and nonlinear couplings

“…For the desired formation h(t), check Condition 1 in Theorem 1 first. If it is satisfied, v i (t), i = 1, … , N can be determined as (18), otherwise, h(t) is not feasible for the system (1) with controller (3) and stop. 2.…”

“…A distributed $$$ {H}_{\infty } $$$ consensus problem of multi‐agent systems with linear node dynamics was studied in Reference 11 under a performance region‐based method, and a dynamic output feedback protocol was proposed to solve this issue in Reference 17 considering a switching topology. The authors in Reference 18 combined the event triggered mechanism and $$$ {H}_{\infty } $$$ control approaches to solve the formation problems of multi‐area power systems subject to communication delays and bounded disturbances. In addition, several advanced control methodologies are also exploited to solve the robust consensus/formation problems, such as, disturbance observer‐based finite‐time formation control, 19,20 slide mode control, 21 model predictive control, 22,23 PID‐type method, 24 to name a few.…”

Tracking control for networked control systems with DoS attacks via reinforcement learning method

“…In [24], the event-based security control issues in discrete-time NCSs were addressed to reduce the influences of deception attacks and DoS attacks. Different from the above results, this paper applies a game-theoretic approach to design a secure tracking control scheme, which is capable of simultaneously resisting the influence of DoS attacks and external disturbance [25][26][27]. However, as far as we know, limited works can be found on the topic of secure tracking control problem using reinforcement learning (RL) methods.…”

Reliable quantized sampled‐data LFC for semi‐Markov jump interconnected multi‐area power systems: Dealing with incomplete TRs

“…The power systems, as a class of typical complex dynamic systems, has garnered significant attention due to its features, including large scale, intricate structure, robust real-time performance and high safety requirements. [1][2][3] In particular, deviations in frequency may lead to equipment damage along with serious consequence for the control of interconnected multi-area power systems (IMAPSs). Load frequency control (LFC) strategy is therefore broadly employed in the IMAPSs to ensure frequency stability against load disturbances.…”