Latest Research in Smart Grid Security and Resilience
16 research papers · 2026 median publication year
Top Research Topics in Smart Grid Security and Resilience
- Systems and Control — 5 papers
- Power System Optimization and Stability — 4 papers
- Smart Grid Security and Resilience — 2 papers
- Islanding Detection in Power Systems — 1 papers
- Power Quality and Harmonics — 1 papers
- Real-time simulation and control systems — 1 papers
- Radiation Effects in Electronics — 1 papers
- Optimal Power Flow Distribution — 1 papers
Highest-Cited Papers
- A post-fault island partitioning method for distribution networks considering overall frequency security and spatial nodal RoCoF constraints
- Fully distributed security control for wind farms subject to hybrid cyberattacks
- Design of a multi-parameter neural proportional–integral–derivative cooperative controller for power cyber–physical systems using t-distributed stochastic neighbor embedding
- Dynamic voltage stability enhancement in wind integrated power systems using a deep reinforcement learning based FACTS controller
- Unified Heterogeneous Graph Neural Network solver for Power Flow, Optimal Power Flow and State Estimation
- Risk assessment of voltage violations during unintentional islanding events
- A unified power-grid representation for reuse across network structures and computational tasks
- Intelligent UPQC control using SA-GANN and optimized DC-link regulation in grid-connected microgrids
- Hydro–Wind–Photovoltaic Multi-Energy Centralized Control Systems and Digital Twin-Based Simulation Training Platforms: A Review
- Topology-Driven Empirical Placement of PMUs for Network Observability with and Without Zero-Injection Consideration
- Adaptive radiation- and plasma-resilient power electronics for deep-space applications
- Safety Screening for Voltage Control in Active Distribution Grids via Distributionally Robust Conformal Screening
- Mitigating Forced Oscillations in Power Systems via Data-Enabled Predictive Control
- Expanding the Transient Stability Region of Attraction of Networked Grid-Interactive Inverters: A Probabilistic Active Learning Framework
- Energy-Efficient Explainable Graph Intelligence Framework for Cyber Physical Smart Grid Stability Prediction
- Llm-assisted physics-guided spatiotemporal graph learning for power meteorological disaster evolution