Results 21 to 30 of about 127 (107)

A Novel Physics‐Constrained and Nature‐Inspired Reinforcement Learning With Adaptive Model Predictive Control for Multi‐Machine Renewable Rich Microgrids

open access: yesIET Smart Grid, Volume 9, Issue 1, January/December 2026.
Overview of the case study microgrid system. ABSTRACT This research study proposes a physics‐constrained nature‐inspired (PCNI) reinforcement learning (RL) and model predictive control (MPC) strategy that simultaneously incorporates a trigonometric Lyapunov function into both RL's training loss functions and reward shaping, that is, dual role of ...
Neelofar Shaukat   +3 more
wiley   +1 more source

Advancing Smart Grids With Artificial Intelligence for Advancing Sustainability, Resilience, and Efficiency

open access: yesJournal of Control Science and Engineering, Volume 2026, Issue 1, 2026.
A smart grid is the embodiment of the economic benefit derived from a complex, advanced power system that can handle increased demand. With the integration of modern metering infrastructure, advanced control, and communication systems, large volumes of multitype and high‐dimensional data about electric power grid functioning are permitted to be ...
Hamed Taherdoost   +3 more
wiley   +1 more source

Review of Multi‐Energy Coupling and Resilience Control in Cyber Physical Energy Systems Under Extreme Disasters

open access: yesEnergy Internet, Volume 2, Issue 4, Page 297-312, December 2025.
ABSTRACT Extreme disasters, including both natural hazards and malicious intrusions, pose severe risks to cyber‐physical energy systems (CPES). Due to tight coupling, their impacts are amplified by physical destruction, cyber degradation, multi‐energy interdependencies and human behaviour.
Yijia Cao   +5 more
wiley   +1 more source

Research on the Adaptive Protection Method for Distribution Networks With Inverter‐Type Distributed Power Supplies: Based on Short‐Circuit Impedance Calculation

open access: yesEngineering Reports, Volume 7, Issue 4, April 2025.
If the linear node voltage equation set obtained from the faulty composite sequential network is solved directly by linear transformation, it is not possible to accurately calculate and obtain the fault current and the voltage at the merging point of IIDG.
Zhuoran Song   +5 more
wiley   +1 more source

Scalable cyber‐physical testbed for cybersecurity evaluation of synchrophasors in power systems

open access: yesIET Cyber-Physical Systems: Theory &Applications, Volume 10, Issue 1, January/December 2025.
This paper introduces a synchrophasor‐based cyber‐physical power system testbed using the pySynphasor tool for emulating various cyber‐attacks on phasor measurement units (PMUs). The testbed combines real‐time simulation, virtual machines, network emulation, and packet manipulation for scalable cyber‐security testing, focussing on attacks like ARP ...
Shuvangkar Chandra Das   +2 more
wiley   +1 more source

Analysing a multi‐stage cyber threat and its impact on the power system

open access: yesIET Cyber-Physical Systems: Theory &Applications, Volume 10, Issue 1, January/December 2025.
The work in this paper highlights the importance of the multi‐stage defence paradigm. The use case presented here shows a multi‐stage threat scenario on a power utility, from Stage 1—initial access to Stage 4—physical impact. Abstract Electric power systems are composed of physical and cyber sub‐systems. The sub‐systems depend on each other.
Leen Al Homoud   +5 more
wiley   +1 more source

Modelling False Data Injection and Denial of Service Attacks in Cyber‐Physical Microgrids

open access: yesIET Cyber-Physical Systems: Theory &Applications, Volume 10, Issue 1, January/December 2025.
This paper aims to analyse the impact of cyberattacks on data transmission in cyber‐physical microgrids and to develop appropriate updated models for these systems. It investigates the effects of cyberattacks on the numerical stream data in microgrids, drawing upon experimental results to construct cyberattack models that can facilitate the development
Abbas Ahmadi   +2 more
wiley   +1 more source

An Early Stage Failure Prediction Mechanism in Smart Grid Networks

open access: yesIET Cyber-Physical Systems: Theory &Applications, Volume 10, Issue 1, January/December 2025.
In this paper, we propose a novel early‐stage failure prediction (ESFP) mechanism that applies ML algorithms to enhance the security of smart grid systems. We use a realistic model to generate a dataset for training ML algorithms and develop a mechanism to predict the state of a system's components in the early stages before failures propagate in the ...
Ali Salehpour   +3 more
wiley   +1 more source

Power System Digital Twins in Action: What We Learnt and Where We Go Next

open access: yesDigital Twins and Applications, Volume 2, Issue 1, January/December 2025.
This work presents insights from developing digital twins for microgrids, highlighting challenges in fidelity standards, multi‐physics modelling and real‐time synchronisation while proposing future directions in adaptive hybrid modelling, scalable architectures and ethical frameworks to advance power system resilience and operational efficiency ...
Md Khairul Islam   +5 more
wiley   +1 more source

Real‐Time Cyberattack Detection for SCADA in Power System

open access: yesIET Energy Systems Integration, Volume 7, Issue 1, January/December 2025.
ABSTRACT Supervisory Control and Data Acquisition (SCADA) systems monitor and control industrial processes, but their integration with information technology and network connectivity, including the internet, exposes them to potential cyber threats. As SCADA systems become essential infrastructure, their vulnerability to cyber‐attacks has increased ...
Botta Prudhvi   +2 more
wiley   +1 more source

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