Cover Image

Contingency Detection in Modern Power Systems: A Stochastic Hybrid System Method

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yuan, Shuo, Wang, Le Yi, Yin, George, Nazari, Masoud H.
Format:	Preprint
Published:	2024
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stochastic Hybrid System Modeling and State Estimation of Modern Power Systems under Contingency
by: Yuan, Shuo, et al.
Published: (2024)

A Learning-Driven Stochastic Hybrid System Framework for Detecting Unobservable Contingencies in Power Systems
by: Varmazyari, Hamid, et al.
Published: (2025)

Early Detection and Classification of Hidden Contingencies in Modern Power Systems: A Learning-based Stochastic Hybrid System Approach
by: Abadi, Erfan Mehdipour, et al.
Published: (2024)

Detecting Unobservable Contingencies in Active Distribution Systems Using a Stochastic Hybrid Systems Approach
by: Abadi, Erfan Mehdipour, et al.
Published: (2025)

A Learning-based Hybrid System Approach for Detecting Contingencies in Distribution Grids with Inverter-Based Resources
by: Varmazyari, Hamid, et al.
Published: (2025)

Distributed Anomaly Detection in Modern Power Systems: A Penalty-based Mitigation Approach
by: Abadi, Erfan Mehdipour, et al.
Published: (2024)

A Review of Community-Centric Power System Resilience: Strategies, Data-Driven Methods, and Techno-Legal Perspectives
by: Nazari, Masoud H., et al.
Published: (2025)

A Review of Safe Reinforcement Learning Methods for Modern Power Systems
by: Su, Tong, et al.
Published: (2024)

Deep Learning-Based Weather-Related Power Outage Prediction with Socio-Economic and Power Infrastructure Data
by: Wang, Xuesong, et al.
Published: (2024)

Graph Neural Networks for Fast Contingency Analysis of Power Systems
by: Nakiganda, Agnes M., et al.
Published: (2023)

Decentralized P2P Trading based on Blockchain for Retail Electricity Markets
by: Nazari, Masoud H., et al.
Published: (2024)

Secure and Decentralized Peer-to-Peer Energy Transactions using Blockchain Technology
by: Biswas, Antar Kumar, et al.
Published: (2025)

Predictive Modeling of Power Outages during Extreme Events: Integrating Weather and Socio-Economic Factors
by: Fatehi, Nina, et al.
Published: (2025)

Stochastic Carbon Footprint Tracing Methods in Power Systems
by: Hu, Jiashuo, et al.
Published: (2024)

Control of the Power Flows of a Stochastic Power System
by: Wang, Zhen, et al.
Published: (2023)

Trustworthiness Layer for Foundation Models in Power Systems: Application to N-k Contingency Screening
by: Alcántara, Antonio, et al.
Published: (2026)

Learning Local Control Barrier Functions for Hybrid Systems
by: Yang, Shuo, et al.
Published: (2024)

Machine Learning for Scalable and Optimal Load Shedding Under Power System Contingency
by: Zhou, Yuqi, et al.
Published: (2024)

Stabilizing Rate of Stochastic Control Systems
by: Jia, Hui, et al.
Published: (2025)

Power Oscillation Damping Controllers for Grid-Forming Power Converters in Modern PowerSystems
by: Mateu-Barriendos, Elia, et al.
Published: (2024)

Graph-based Simulation Framework for Power Resilience Estimation and Enhancement
by: Wang, Xuesong, et al.
Published: (2024)

Taylor-Expansion-Based Robust Power Flow in Unbalanced Distribution Systems: A Hybrid Data-Aided Method
by: Chung, Sungjoo, et al.
Published: (2024)

Distributed Robust Optimization Method for AC/MTDC Hybrid Power Systems with DC Network Cognizance
by: Li, Haixiao, et al.
Published: (2024)

Optimal Covariance Steering of Linear Stochastic Systems with Hybrid Transitions
by: Yu, Hongzhe, et al.
Published: (2024)

Uncertainty Propagation in Stochastic Hybrid Systems with Dimension-Varying Resets
by: C., Tejaswi K., et al.
Published: (2026)

Contingency-Aware Nodal Optimal Power Investments with High Temporal Resolution
by: Lee, Thomas, et al.
Published: (2025)

A Deep Learning-Based Method for Power System Resilience Evaluation
by: Wang, Xuesong, et al.
Published: (2025)

Shaping Frequency Dynamics in Modern Power Systems with Grid-forming Converters
by: Collados-Rodriguez, Carlos, et al.
Published: (2024)

Layered Control of Partially Observed Stochastic Systems
by: Stamouli, Charis, et al.
Published: (2026)

On Approximate Opacity of Stochastic Control Systems
by: Liu, Siyuan, et al.
Published: (2024)

A Hybrid Artificial Intelligence Method for Estimating Flicker in Power Systems
by: Enayati, Javad, et al.
Published: (2025)

Contingency Identification of Cascading Failures in Power Transmission Networks
by: Zhai, Chao, et al.
Published: (2019)

PowerSimulationsDynamics.jl -- An Open Source Modeling Package for Modern Power Systems with Inverter-Based Resources
by: Lara, Jose Daniel, et al.
Published: (2023)

Optimal Covariance Steering for Discrete-Time Linear Stochastic Systems
by: Liu, Fengjiao, et al.
Published: (2022)

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence
by: Martinez-Velasco, Juan A., et al.
Published: (2025)

Analysis and Modeling of the Hybrid Vessel's Electrical Power System
by: Mosselaar, Matthijs, et al.
Published: (2024)

Grouping of $N-1$ Contingencies for Controller Synthesis: A Study for Power Line Failures
by: Junnarkar, Neelay, et al.
Published: (2024)

Stochastic Quantum Power Flow for Risk Assessment in Power Systems
by: Sævarsson, Brynjar, et al.
Published: (2023)

A Distributionally Robust Optimization Framework for Stochastic Assessment of Power System Flexibility in Economic Dispatch
by: Zhao, Xinyi, et al.
Published: (2024)

Compositional Design of Safety Controllers for Large-Scale Stochastic Hybrid Systems
by: Zaker, Mahdieh, et al.
Published: (2024)