Adversarial threats in LLM-augmented decision support for cyber-physical energy system with wildfire: Attack modeling and mitigation
Available online 30 October 2026
Large language model (LLM) has the potential to support cyber-physical decision-making by helping human operators interpret complex system conditions, especially during high-stress events with cognitive...
Operating-range-aware spectral-margin design for microgrid controller parameters
Available online 30 October 2026
Microgrid small-signal stability depends on both controller parameters and the operating equilibrium established under changing system conditions. Consequently, controller parameters tuned at a single...
Natural Gas as Transition Green Energy: Emission Penalty/Incentive vs. Green Energy Target
Available online 29 October 2026
Natural gas is expected to become an important transition fuel for the decarbonization of energy systems. However, the high natural gas price may hinder the usage of natural gas in power generation....
Integrity-assured wind farm telemetry transfer using permissioned distributed ledger
Available online 26 October 2026
Due to their advantages, wind farms (WFs) are increasingly integrated into power systems. In such cyber-physical systems, secure integration requires addressing challenges such as data security, integrity,...
A structure-based analytical framework for optimal distributed generation allocation in distribution systems
Available online 21 October 2026
Distributed generation (DG) from renewable sources is transforming distribution systems, making optimal DG placement increasingly important for secure and efficient system operation. Existing methods...
The emerging landscape of cyberthreats in SCADA deployment
Available online 17 October 2026
•Develops a quantitative cyber–physical risk portfolio framework based on steady-state occupancy of cyber–physical–social system states.•Introduces a generalized stochastic Petri net (GSPN)-based discrete-event...
Leveraging federated learning for smart grids: A comprehensive survey
Available online 22 September 2026
•Systematic observations of federated learning’s applications from different aspects.•Categorized discussions on the vulnerabilities of federated learning in smart grids.•Organized discussions on defense...
Agent AI-based platform for renewable energy system design and optimization
Available online 17 September 2026
•This paper develops an agent AI-based platform for a complete solar microgrid design and analysis.•The system implements real-time simulation with 24-h performance modeling and comprehensive stress...
Network-constrained midterm clustered unit commitment: A multi-stage stochastic model with multi-time-scale uncertainties and nonanticipativity
Available online 11 September 2026
This paper proposes a multi-stage stochastic network-constrained clustered unit commitment model for the optimal midterm scheduling of hydro-wind-thermal power systems under multi-time-scale uncertainties....
Resilient planning of multi-type remote-controlled switches and soft open points in distribution systems under thunderstorm disasters
August 2026
•Multi-type RCSs and SOPs in distribution systems are coordinated based on their types, capabilities and operational limits.•The sequential switching operations are captured via multi-stage recovery...
Exploring the role of transformer neural networks in forecasting IBR-dominant power system dynamics
August 2026
The energy system transition requires fundamental changes in the power system, which in turn introduce uncertainties and increase complexity. In addition, with the proliferation of inverter-based resources...
Optimization of renewable-integrated energy systems via artificial intelligence: Review and perspective
August 2026
Renewable energy has attracted widespread attention as a vital component in the global transition to low-carbon energy systems. Renewable-integrated energy systems (R-IESs) effectively combine diverse...
Guest editorial: Special issue on reliability and resilience for distributed and intelligent energy systems
August 2026
Resilient distributed optimization algorithm based on 2-hop neighbor information for integrated energy systems
August 2026
To address the distributed optimization problem of integrated energy systems (IESs) subjected to false data injection (FDI) attacks, this paper proposes a resilient distributed optimization algorithm...
Cyber-physical resilience of coupled power and transportation systems with massive autonomous vehicles: Challenges and outlooks
August 2026
The rapid development of autonomous driving is intensifying the interconnection between urban power, traffic, and cyber systems. This integration enhances system efficiency and intelligence but also...
MiRoCPO: Mutual information and RoCoF-aware constrained policy optimization for robust load frequency control against temporal-coupled attacks
August 2026
•The MiRoCPO framework for robust load frequency control in power systems is proposed.•A RoCoF-aware worst-case cost function is designed to improve transient stability.•Mutual information minimization...
Review of digital twin and generative artificial intelligence for operation and control of new-type power systems
August 2026
•Applications of DT and GenAI in new-type power systems are comprehensively reviewed.•Integrated architecture of DT and GenAI is explored to enhance intelligent operation.•Challenges and prospects of...
Beyond N-1: The Iberian blackout reveals interconnected risks in power systems
August 2026
The 2025 Iberian blackout, a highly disruptive large-scale grid failure, underscores the increasing fragility of deeply interconnected and decarbonizing power systems. Traditional security paradigms,...
Deep reinforcement learning-based current control of grid following inverters with digital real-time simulation
Available online 28 August 2026
•A DRL controller trained on a lightweight state-space model.•Direct deployment on a high-fidelity OPAL-RT switching inverter without retraining.•Demonstrates efficient cross-model deployment for practical...
Power system extreme weather scenario identification: Avoiding mode collapse in meteorological small sample diverse generation
Available online 1 July 2026
The integration of fluctuating renewable energy sources has heightened power output volatility, particularly during extreme weather, exacerbating supply-demand imbalances. Short-term power balance analysis...
A selective-verification reinforcement learning framework for robust FDIA detection under topology changes and measurement noise in smart grids
Available online 1 June 2026
•Proposed two-tier selective-verification RL framework for robust FDIA detection.•Proposed graph-consistency signature guides selective-verification decisions.•Ablation and convergence analyses support...
Large language model-driven rule synthesis for adaptive home energy management
May 2026
This paper proposes an innovative large language model-driven rule synthesis (LLM-RS) framework for adaptive home energy management system (HEMS). The framework addresses three critical challenges in...
Cyber-physical-social insights into barriers to transactive energy market development in power systems
May 2026
•Propose a cyber–physical–social framework for analyzing transactive energy markets.•Reveal key barriers of bounded rationality, strategic gaming, and secure clearing.•Integrate behavioral economics...
Cybersecurity challenges and defense strategies for next-generation power systems
May 2026
As modern power systems become increasingly interconnected and digitized, they face growing exposure to sophisticated cyber threats. Attacks such as phishing, malware infiltration, and denial-of-service...