Abstract This paper shows a result for the load frequency control with event‐triggering mechanism under deception attacks. Specifically, the event‐triggering mechanism and deception attacks are considered in the dynamic model of power systems. The event‐triggering is used to reduce the frequency of controller update and communication between nodes. The H∞ controller is designed and the stability of the system is guaranteed by utilising the Lyapunov–Krasovskii functional method and truncated Bessel–Legendre inequality. Finally, a three‐area interconnected networked power system is given and the simulated results are presented to show the effectiveness of the developed theoretical results
Power systems are complex systems that have great importance to socio-economic development due to th...
In this paper, a novel scheme inspired by the Super-Twisting Sliding Mode Algorithm (STA) is propose...
Low-voltage distribution grids experience a rising penetration of inverter-based, distributed genera...
This paper focuses on the event-triggered model-free adaptive predictive load frequency control (LFC...
The purpose of this work is to design a covert agent structure that can create a non-zero frequency ...
In the distributed load frequency control (DLFC) scheme, the compromised areas by attackers may enda...
International audienceThis paper considers the event-triggered control problem for a class of Networ...
Today, power systems have transformed considerably and taken a new shape of geographically distribut...
Abstract This paper is concerned with security problems for cyber‐physical systems (CPSs) under dyna...
Abstract—With the increase in use of information technology in advanced demand side management and g...
This paper investigates the annular finite-time bounded and adaptive event-triggered control problem...
Modern network and communication technologies are essential for the implementation and operation of ...
Recent research has shown that large-scale Internet of Things (IoT)-based load altering attacks can ...
Electric power systems have evolved over the past century to the largest and the most complex cyber-...
Abstract—A parametric game-theoretic controller is proposed to stabilize power systems during and af...
Power systems are complex systems that have great importance to socio-economic development due to th...
In this paper, a novel scheme inspired by the Super-Twisting Sliding Mode Algorithm (STA) is propose...
Low-voltage distribution grids experience a rising penetration of inverter-based, distributed genera...
This paper focuses on the event-triggered model-free adaptive predictive load frequency control (LFC...
The purpose of this work is to design a covert agent structure that can create a non-zero frequency ...
In the distributed load frequency control (DLFC) scheme, the compromised areas by attackers may enda...
International audienceThis paper considers the event-triggered control problem for a class of Networ...
Today, power systems have transformed considerably and taken a new shape of geographically distribut...
Abstract This paper is concerned with security problems for cyber‐physical systems (CPSs) under dyna...
Abstract—With the increase in use of information technology in advanced demand side management and g...
This paper investigates the annular finite-time bounded and adaptive event-triggered control problem...
Modern network and communication technologies are essential for the implementation and operation of ...
Recent research has shown that large-scale Internet of Things (IoT)-based load altering attacks can ...
Electric power systems have evolved over the past century to the largest and the most complex cyber-...
Abstract—A parametric game-theoretic controller is proposed to stabilize power systems during and af...
Power systems are complex systems that have great importance to socio-economic development due to th...
In this paper, a novel scheme inspired by the Super-Twisting Sliding Mode Algorithm (STA) is propose...
Low-voltage distribution grids experience a rising penetration of inverter-based, distributed genera...