Recent Articles

Open access

ISSN: 3050-7448

Defense hardening of electricity-hydrogen networks for extreme weather: A risk limitation approach with endogenous uncertainties

Defense hardening can effectively enhance the resilience of distribution networks against extreme weather events. Currently, most existing hardening strategies focus on reducing load-shedding. However,...

Internet of Things and machine learning for energy saving in advanced manufacturing processes: A review

Optimizing energy utilization in industrial processes has become critically important due to growing concerns regarding energy consumption and its environmental impact. In recent years, the integration...

Stochastic dynamic stability assessment with high penetration of uncertain sources: Uncertainty modeling, solutions and applications

The growing penetration of inverter-based resources (IBRs) in modern power systems has introduced new challenges for dynamic stability assessment due to increased uncertainty and reduced system inertia....

Admittance-based Ollivier-Ricci curvature for power grid structural robustness analysis

•An Ollivier-Ricci curvature using admittance matrix to analyze the structural robustness of power grids to cascading failures.•A curvature-based method for adding new transmission lines to improve...

Energy data space ensuring reliable interaction of virtuality and reality in integrated energy system: A survey

With the deep integration of energy and information networks, the low-carbon, efficient, and economical operation and management of integrated energy systems are increasingly driven by digital twins...

Electric-vehicle aggregators as cyber-physical energy systems: Optimal operation strategy for frequency regulation and energy arbitrage

Electric-vehicle aggregators are distributed storage systems that require coordination and control. Therefore, they are cyber-physical energy systems of practical relevance to the power industry as...

Coordinated power control of virtual power plant for frequency regulation considering cyber-physical uncertainties

Driven by advanced Internet technologies, virtual power plants (VPPs) demonstrate significant potential for providing frequency regulation services to power systems by aggregating heterogeneous demand...

Game theory-based vulnerability analysis of cyber-physical power systems under interdependent network attacks

Cyber-physical power systems (CPPSs) have gained widespread adoption worldwide, driven by the growing need for enhanced power system security. The convergence of digital technologies with traditional...

Regularity analysis of time series data: A new insight to mining value of power consumption profiles

Analyzing the regularity of power consumption data is critical for uncovering latent structure with practical value. The higher the regularity in power consumption data, the greater its analytical value....

Survey on data-driven control and its application in cyber-physical energy systems

Data-driven control has rapidly matured into a powerful complement to classical model-based paradigms. Among the most successful approaches are nonparametric, trajectory-centric methods built on Willems...

Multi-objective optimization for energy blockchain cloud storage: Achieving efficiency and security synergy

With the rapid development of cyber-physical energy systems (CPES), enormous amounts of data are being generated and exchanged at edge nodes, placing stringent demands on data traceability, integrity,...

Generic Buffer: A data-driven flexibility modeling approach for predictive control in industrial steam networks

•A Generic Buffer accurately represents the intrinsic flexibility of a steam network.•Predictive control based on the Generic Buffer results in cost and emissions savings.•Our controller is tested in...

Port cyber-physical energy systems: Advances, challenges, and future directions

The port energy system is characterized by complex multi-energy coupling, high load volatility, and deep cyber-physical integration. Facing the trend of digital transformation and intelligent upgrading...

Neural-optimization integration for AC optimal power flow: A differentiable warm-start approach

Accelerating the convergence of AC optimal power flow (AC-OPF) problems is crucial for real-time power system operation, especially as modern grids face increasing complexity from renewable energy integration...

Cyber-physical energy system for the energy revolution: A comprehensive solution for system design and operation

Cyber-physical system (CPS) is a networked, intelligent system that tightly integrates physical systems with cutting-edge information technologies to achieve efficient and secure operations. It is widely...

Inaugural Editorial

Resilient planning of multi-type remote-controlled switches and soft open points in distribution systems under thunderstorm disasters

•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...

Historical optimization decision-assisted adversarial inverse reinforcement learning for smart home energy management

Smart home energy management (SHEM) plays a vital role in reducing energy costs and enhancing the utilization of renewable energy. Among the various SHEM approaches, deep reinforcement learning (DRL)-based...

Advancing performance guarantees for DNN-based OPF in topology-flexible distribution networks

We tackled the lack of solution-quality guarantees for deep neural network (DNN)-based optimal power flow (OPF) in topology-flexible distribution networks (TFDNs), despited the black-box nature of DNN...

Stability analysis of droop-free controlled islanded microgrids with asymmetric communication networks

This paper presents a stability analysis of droop-free controlled islanded microgrids with asymmetric communication networks for proper active power sharing of distributed energy resources (DERs) while...

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