Scalable Bilevel Optimization for Generating Maximally Representative OPF Datasets
Fuente:
arXiv
Guardado en:
| Autores principales: | Nadal, Ignasi Ventura, Chevalier, Samuel |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Optimization-Based Exploration of the Feasible Power Flow Space for Rapid Data Collection
por: Nadal, Ignasi Ventura, et al.
Publicado: (2022)
por: Nadal, Ignasi Ventura, et al.
Publicado: (2022)
Identifying the Smallest Adversarial Load Perturbation that Renders DC-OPF Infeasible
por: Chevalier, Samuel, et al.
Publicado: (2025)
por: Chevalier, Samuel, et al.
Publicado: (2025)
Physics-Informed Neural Networks in Power System Dynamics: Improving Simulation Accuracy
por: Nadal, Ignasi Ventura, et al.
Publicado: (2025)
por: Nadal, Ignasi Ventura, et al.
Publicado: (2025)
Physics-Informed Neural Networks: a Plug and Play Integration into Power System Dynamic Simulations
por: Nadal, Ignasi Ventura, et al.
Publicado: (2024)
por: Nadal, Ignasi Ventura, et al.
Publicado: (2024)
Scalable Physics-Informed Neural Networks for Accelerating Electromagnetic Transient Stability Assessment
por: Nadal, Ignasi Ventura, et al.
Publicado: (2025)
por: Nadal, Ignasi Ventura, et al.
Publicado: (2025)
A Principled Framework to Evaluate Quality of AC-OPF Datasets for Machine Learning: Benchmarking a Novel, Scalable Generation Method
por: Baù, Matteo, et al.
Publicado: (2025)
por: Baù, Matteo, et al.
Publicado: (2025)
Toolbox for Developing Physics Informed Neural Networks for Power Systems Components
por: Karampinis, Ioannis, et al.
Publicado: (2025)
por: Karampinis, Ioannis, et al.
Publicado: (2025)
Maximal Load Shedding Verification for Neural Network Models of AC Line Switching
por: Chevalier, Samuel, et al.
Publicado: (2025)
por: Chevalier, Samuel, et al.
Publicado: (2025)
A Parallelized, Adam-Based Solver for Reserve and Security Constrained AC Unit Commitment
por: Chevalier, Samuel
Publicado: (2023)
por: Chevalier, Samuel
Publicado: (2023)
Enhancing Scalability of Optimal Kron-based Reduction of Networks (Opti-KRON) via Decomposition with Community Detection
por: Mokhtari, Omid, et al.
Publicado: (2024)
por: Mokhtari, Omid, et al.
Publicado: (2024)
Sorta Solving the OPF by Not Solving the OPF: DAE Control Theory and the Price of Realtime Regulation
por: Nadeem, Muhammad, et al.
Publicado: (2023)
por: Nadeem, Muhammad, et al.
Publicado: (2023)
GPU-Accelerated DCOPF using Gradient-Based Optimization
por: Rafiei, Seide Saba, et al.
Publicado: (2024)
por: Rafiei, Seide Saba, et al.
Publicado: (2024)
A hard-constrained NN learning framework for rapidly restoring AC-OPF from DC-OPF
por: Chen, Kejun, et al.
Publicado: (2026)
por: Chen, Kejun, et al.
Publicado: (2026)
All-Pass Fractional OPF: A Solver-Friendly, Physics-Preserving Approximation of AC OPF
por: Hasanzadeh, Milad, et al.
Publicado: (2026)
por: Hasanzadeh, Milad, et al.
Publicado: (2026)
Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints
por: Rafiei, Saba, et al.
Publicado: (2026)
por: Rafiei, Saba, et al.
Publicado: (2026)
Towards Data-Driven Multi-Stage OPF
por: Molodchyk, Oleksii, et al.
Publicado: (2025)
por: Molodchyk, Oleksii, et al.
Publicado: (2025)
Learning to Optimize meets Neural-ODE: Real-Time, Stability-Constrained AC OPF
por: Di Vito, Vincenzo, et al.
Publicado: (2024)
por: Di Vito, Vincenzo, et al.
Publicado: (2024)
Revisiting Deep AC-OPF
por: Dada, Oluwatomisin I., et al.
Publicado: (2025)
por: Dada, Oluwatomisin I., et al.
Publicado: (2025)
Towards Perturbation-Induced Static Pivoting on GPU-Based Linear Solvers
por: Chevalier, Samuel, et al.
Publicado: (2023)
por: Chevalier, Samuel, et al.
Publicado: (2023)
A hybrid Quantum-Classical Algorithm for Mixed-Integer Optimization in Power Systems
por: Ellinas, Petros, et al.
Publicado: (2024)
por: Ellinas, Petros, et al.
Publicado: (2024)
On Stability in Optimistic Bilevel Optimization
por: Royset, Johannes O.
Publicado: (2024)
por: Royset, Johannes O.
Publicado: (2024)
ProOPF: Benchmarking and Improving LLMs for Professional-Grade Power Systems Optimization Modeling
por: Shen, Chao, et al.
Publicado: (2026)
por: Shen, Chao, et al.
Publicado: (2026)
Computationally Enhanced Approach for Chance-Constrained OPF Considering Voltage Stability
por: Wu, Yuanxi, et al.
Publicado: (2023)
por: Wu, Yuanxi, et al.
Publicado: (2023)
Unbalanced OPF Modelling for Mixed Monopolar and Bipolar HVDC Grid Configurations
por: Jat, Chandra Kant, et al.
Publicado: (2022)
por: Jat, Chandra Kant, et al.
Publicado: (2022)
Safe Gradient Flow for Bilevel Optimization
por: Sharifi, Sina, et al.
Publicado: (2025)
por: Sharifi, Sina, et al.
Publicado: (2025)
Global Performance Guarantees for Neural Network Models of AC Power Flow
por: Chevalier, Samuel, et al.
Publicado: (2022)
por: Chevalier, Samuel, et al.
Publicado: (2022)
Structure-preserving Optimal Kron-based Reduction of Radial Distribution Networks
por: Mokhtari, Omid, et al.
Publicado: (2025)
por: Mokhtari, Omid, et al.
Publicado: (2025)
Optimal Kron-based Reduction of Networks (Opti-KRON) for Three-phase Distribution Feeders
por: Mokhtari, Omid, et al.
Publicado: (2025)
por: Mokhtari, Omid, et al.
Publicado: (2025)
Bilevel Optimization for Real-Time Control with Application to Locomotion Gait Generation
por: Olkin, Zachary, et al.
Publicado: (2024)
por: Olkin, Zachary, et al.
Publicado: (2024)
MPA-DNN: Projection-Aware Unsupervised Learning for Multi-period DC-OPF
por: Kim, Yeomoon, et al.
Publicado: (2025)
por: Kim, Yeomoon, et al.
Publicado: (2025)
Physics-Informed Gradient Estimation for Accelerating Deep Learning based AC-OPF
por: Chen, Kejun, et al.
Publicado: (2025)
por: Chen, Kejun, et al.
Publicado: (2025)
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis
por: Niu, Youcheng, et al.
Publicado: (2023)
por: Niu, Youcheng, et al.
Publicado: (2023)
Sequential QCQP for Bilevel Optimization with Line Search
por: Sharifi, Sina, et al.
Publicado: (2025)
por: Sharifi, Sina, et al.
Publicado: (2025)
An OPF-based Control Framework for Hybrid AC-MTDC Power Systems under Uncertainty
por: Du, Hongjin, et al.
Publicado: (2025)
por: Du, Hongjin, et al.
Publicado: (2025)
A Hybrid Sequential Convex Programming Framework for Unbalanced Three-Phase AC OPF
por: Yehia, Sary, et al.
Publicado: (2025)
por: Yehia, Sary, et al.
Publicado: (2025)
Bilevel Optimization for Improved Flexibility Aggregation Models of Electric Vehicle Fleets
por: Härtel, Philipp, et al.
Publicado: (2025)
por: Härtel, Philipp, et al.
Publicado: (2025)
Optimizing Offshore Wind Integration through Multi-Terminal DC Grids: A Market-Based OPF Framework for the North Sea Interconnectors
por: Valerio, Bernardo Castro, et al.
Publicado: (2025)
por: Valerio, Bernardo Castro, et al.
Publicado: (2025)
Large-scale Grid Optimization: The Workhorse of Future Grid Computations
por: Pandey, Amritanshu, et al.
Publicado: (2025)
por: Pandey, Amritanshu, et al.
Publicado: (2025)
CPU- and GPU-Based Parallelization of the Robust Reference Governor
por: Ossareh, Hamid R., et al.
Publicado: (2025)
por: Ossareh, Hamid R., et al.
Publicado: (2025)
Stochastic framework for scheduling preemptive upgrades of distribution transformers
por: Wheeler, William A, et al.
Publicado: (2025)
por: Wheeler, William A, et al.
Publicado: (2025)
Ejemplares similares
-
Optimization-Based Exploration of the Feasible Power Flow Space for Rapid Data Collection
por: Nadal, Ignasi Ventura, et al.
Publicado: (2022) -
Identifying the Smallest Adversarial Load Perturbation that Renders DC-OPF Infeasible
por: Chevalier, Samuel, et al.
Publicado: (2025) -
Physics-Informed Neural Networks in Power System Dynamics: Improving Simulation Accuracy
por: Nadal, Ignasi Ventura, et al.
Publicado: (2025) -
Physics-Informed Neural Networks: a Plug and Play Integration into Power System Dynamic Simulations
por: Nadal, Ignasi Ventura, et al.
Publicado: (2024) -
Scalable Physics-Informed Neural Networks for Accelerating Electromagnetic Transient Stability Assessment
por: Nadal, Ignasi Ventura, et al.
Publicado: (2025)