Image de couverture de livre

Prescribed Robustness in Optimal Power Flow

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Mieth, Robert, Poor, H. Vincent
Format:	Preprint
Publié:	2023
Sujets:	Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Analysis of Data Value in Stochastic Optimal Power Flow for Distribution Systems
par: Ghazanfariharandi, Mehrnoush, et autres
Publié: (2024)

Integrated Investment and Policy Planning for Power Systems via Differentiable Scenario Generation
par: Mieth, Robert
Publié: (2026)

Value-Oriented Forecast Combinations for Unit Commitment
par: Ghazanfariharandi, Mehrnoush, et autres
Publié: (2025)

Reliability-Aware Control of Distributed Energy Resources using Multi-Source Data Models
par: Zhang, Gejia, et autres
Publié: (2025)

Towards Reliability-Aware Active Distribution System Operations: A Sequential Convex Programming Approach
par: Zhang, Gejia, et autres
Publié: (2024)

Modeling to Generate Alternatives for Robustness of Mixed Integer DC Optimal Power Flow
par: Crozier, Constance
Publié: (2025)

Unifying Chance-Constrained and Robust Optimal Power Flow for Resilient Network Operations
par: Porras, Álvaro, et autres
Publié: (2023)

Quantum Algorithms for Optimal Power Flow
par: Hafshejani, Sajad Fathi, et autres
Publié: (2024)

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

Carbon-Aware Optimal Power Flow
par: Chen, Xin, et autres
Publié: (2023)

Risk-Aware Security-Constrained Unit Commitment: Taming the Curse of Real-Time Volatility and Consumer Exposure
par: Bienstock, Daniel, et autres
Publié: (2023)

Differentiable Simulator For Dynamic & Stochastic Optimal Gas & Power Flows
par: Hyett, Criston, et autres
Publié: (2023)

Stealth Attacks Against Moving Target Defense for Smart Grid
par: Sun, Ke, et autres
Publié: (2024)

Inverse Chance Constrained Optimal Power Flow
par: Wang, Shenglu, et autres
Publié: (2025)

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

Optimally Linearizing Power Flow Equations for Improved Power System Dispatch
par: Chen, Yuhao, et autres
Publié: (2025)

Optimal Power Flow Pursuit via Feedback-based Safe Gradient Flow
par: Colot, Antonin, et autres
Publié: (2023)

Decentralized Stability-Constrained Optimal Power Flow for Inverter-Based Power Systems
par: Wang, Shigeng, et autres
Publié: (2026)

Iterative Optimization of Multidimensional Functions on Turing Machines under Performance Guarantees
par: Boche, Holger, et autres
Publié: (2025)

GPU Accelerated Security Constrained Optimal Power Flow
par: Degleris, Anthony, et autres
Publié: (2024)

Constrained Optimization with Compressed Gradients: A Dynamical Systems Perspective
par: Xia, Zhaoyue, et autres
Publié: (2024)

Congestion-Sensitive Grid Aggregation for DC Optimal Power Flow
par: Stöckl, Benjamin, et autres
Publié: (2025)

On the Choice of Loss Function in Learning-based Optimal Power Flow
par: Chen, Ge, et autres
Publié: (2024)

Discrete Shortest Paths in Optimal Power Flow Feasible Regions
par: Turizo, Daniel, et autres
Publié: (2024)

Presolving Convexified Optimal Power Flow with Mixtures of Gradient Experts
par: Bose, Shourya, et autres
Publié: (2023)

Ex Post Conditions for the Exactness of Optimal Power Flow Conic Relaxations
par: Lupien, Jean-Luc, et autres
Publié: (2023)

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

A Review of Scalable and Privacy-Preserving Multi-Agent Frameworks for Distributed Energy Resources
par: Huo, Xiang, et autres
Publié: (2024)

Linearized Optimal Power Flow for Multiphase Radial Networks with Delta Connections
par: Byeon, Geunyeong, et autres
Publié: (2022)

A Quadratically-Constrained Convex Approximation for the AC Optimal Power Flow
par: Constante-Flores, Gonzalo E., et autres
Publié: (2025)

A Voronoi Diagram-Based Approach for AC Optimal Power Flow
par: Khamees, Mohammed N., et autres
Publié: (2025)

Quantum-Enabled Probabilistic Optimal Power Flow with Built-in Differential Privacy
par: Cao, Yuji, et autres
Publié: (2026)

A Decomposition Method for Solving Sensitivity-Based Distributed Optimal Power Flow
par: Alkhraijah, Mohannad, et autres
Publié: (2025)

Scalable Two-Stage Stochastic Optimal Power Flow via Separable Approximation
par: Lamichhane, Shishir, et autres
Publié: (2025)

Dynamic Optimal Power Flow in Microgrids using the Alternating Direction Method of Multipliers
par: Scott, Paul, et autres
Publié: (2014)

Improving the Accuracy of DC Optimal Power Flow Formulations via Parameter Optimization
par: Taheri, Babak, et autres
Publié: (2024)

Explicit Ensemble Learning Surrogate for Joint Chance-Constrained Optimal Power Flow
par: Javadi, Amir Bahador, et autres
Publié: (2025)

On Inhomogeneous Infinite Products of Stochastic Matrices and Applications
par: Xia, Zhaoyue, et autres
Publié: (2024)

Prescribed-Time Distributed Generalized Nash Equilibrium Seeking
par: Mudrik, Liraz, et autres
Publié: (2026)

An Augmented Lagrangian Method on GPU for Security-Constrained AC Optimal Power Flow
par: Pacaud, François, et autres
Publié: (2025)