Image de couverture de livre

A Hybrid GNN-IZR Framework for Fast and Empirically Robust AC Power Flow Analysis in Radial Distribution Systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Shamseldein, Mohamed
Format:	Preprint
Publié:	2025
Sujets:	Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Hybrid GNN-LSE Method for Fast, Robust, and Physically-Consistent AC Power Flow
par: Shamseldein, Mohamed
Publié: (2025)

From Liability to Asset: A Three-Mode Grid-Forming Control Framework for Centralized Data Center UPS Systems
par: Shamseldein, Mohamed
Publié: (2025)

Grid-Mind: An LLM-Orchestrated Multi-Fidelity Agent for Automated Connection Impact Assessment
par: Shamseldein, Mohamed
Publié: (2026)

Hypergraph-Based Fast Distributed AC Power Flow Optimization
par: Dai, Xinliang, et autres
Publié: (2023)

Distributed Robust Optimization Method for AC/MTDC Hybrid Power Systems with DC Network Cognizance
par: Li, Haixiao, et autres
Publié: (2024)

Advancing Distributed AC Optimal Power Flow for Integrated Transmission-Distribution Systems
par: Dai, Xinliang, et autres
Publié: (2023)

An OPF-based Control Framework for Hybrid AC-MTDC Power Systems under Uncertainty
par: Du, Hongjin, et autres
Publié: (2025)

Distributed AC Optimal Power Flow: A Scalable Solution for Large-Scale Problems
par: Dai, Xinliang, et autres
Publié: (2025)

Taylor-Expansion-Based Robust Power Flow in Unbalanced Distribution Systems: A Hybrid Data-Aided Method
par: Chung, Sungjoo, et autres
Publié: (2024)

Resilient Scheduling of Control Software Updates in Radial Power Distribution Systems
par: Sou, Kin Cheong, et autres
Publié: (2023)

Data-Driven Power Flow for Radial Distribution Networks with Sparse Real-Time Data
par: Molodchyk, Oleksii, et autres
Publié: (2026)

Radial Partitioning with Spectral Penalty Parameter Selection in Distributed Optimization for Power Systems
par: Karimi, Mehdi
Publié: (2023)

Improved Physics-Informed Neural Network based AC Power Flow for Distribution Networks
par: Eeckhout, Victor, et autres
Publié: (2024)

Partial-Power Flow Controller, Voltage Regulator, and Energy Router for Hybrid AC-DC Grids
par: Asadi, Ehsan, et autres
Publié: (2025)

A Distributionally Robust Optimization Framework for Stochastic Assessment of Power System Flexibility in Economic Dispatch
par: Zhao, Xinyi, et autres
Publié: (2024)

Learning to Pursue AC Optimal Power Flow Solutions with Feasibility Guarantees
par: Ajeyemi, Damola, et autres
Publié: (2025)

AC-Network-Informed DC Optimal Power Flow for Electricity Markets
par: Constante-Flores, Gonzalo E., et autres
Publié: (2024)

Applications of Lifted Nonlinear Cuts to Convex Relaxations of the AC Power Flow Equations
par: Bugosen, Sergio I., et autres
Publié: (2024)

Probabilistic Load Forecasting of Distribution Power Systems based on Empirical Copulas
par: Austnes, Pål Forr, et autres
Publié: (2023)

Optimal Droop Control Strategy for Coordinated Voltage Regulation and Power Sharing in Hybrid AC-MTDC Systems
par: Du, Hongjin, et autres
Publié: (2025)

Bus Type Switching to Reduce Bound Violations in AC Power Flow
par: Van Boven, Anna, et autres
Publié: (2025)

A Computationally Efficient Method for Solving Mixed-Integer AC Optimal Power Flow Problems
par: Heid, Johannes, et autres
Publié: (2025)

A Bezier Curve Based Approach to the Convexification of the AC Optimal Power Flow Problem
par: Saldarriaga-Cortes, Carlos Arturo, et autres
Publié: (2025)

Distributionally Robust Joint Chance-Constrained Optimal Power Flow using Relative Entropy
par: Brock, Eli, et autres
Publié: (2025)

Optimizing Parameters of the LinDistFlow Power Flow Approximation for Distribution Systems
par: Taheri, Babak, et autres
Publié: (2024)

Beyond the Neural Fog: Interpretable Learning for AC Optimal Power Flow
par: Pineda, Salvador, et autres
Publié: (2024)

Data-driven AC Optimal Power Flow with Physics-informed Learning and Calibrations
par: Wang, Junfei, et autres
Publié: (2024)

BOOST-RPF: Boosted Sequential Trees for Radial Power Flow
par: Okoyomon, Ehimare, et autres
Publié: (2026)

Tensor Power Flow Formulations for Multidimensional Analyses in Distribution Systems
par: Duque, Edgar Mauricio Salazar, et autres
Publié: (2024)

Integrating and Comparing Radiality Constraints for Optimized Distribution System Reconfiguration
par: Cortes, Pablo, et autres
Publié: (2024)

Frequency Domain Stability Conditions for Hybrid AC/DC Systems
par: Saba, Dahlia, et autres
Publié: (2025)

Dual-Port Grid-Forming Interconnecting Power Converters in Hybrid AC/DC Grids
par: Arévalo-Soler, Josep, et autres
Publié: (2024)

JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration
par: Zhou, Yihong, et autres
Publié: (2026)

Rebuild AC Power Flow Models with Graph Attention Networks
par: Hu, Yuting, et autres
Publié: (2025)

Graph Neural Networks for Fast Contingency Analysis of Power Systems
par: Nakiganda, Agnes M., et autres
Publié: (2023)

Dynamic Modeling, Analysis, and Validation of Dual-Port Grid-Forming Control for Hybrid AC/DC Systems
par: Subotić, Irina, et autres
Publié: (2025)

Analysis and Modeling of the Hybrid Vessel's Electrical Power System
par: Mosselaar, Matthijs, et autres
Publié: (2024)

Model-Free Privacy Preserving Power Flow Analysis in Distribution Networks
par: Liu, Dong, et autres
Publié: (2025)

A Hybrid Sequential Convex Programming Framework for Unbalanced Three-Phase AC OPF
par: Yehia, Sary, et autres
Publié: (2025)

GNN-Enabled Robust Hybrid Beamforming with Score-Based CSI Generation and Denoising
par: Li, Yuhang, et autres
Publié: (2025)