Scalable Global Optimization for AC-OPF via Quadratic Convex Relaxation and Branch-and-Bound
Fuente:
arXiv
Saved in:
| Main Authors: | Iranpour, Mohammadreza, Narimani, Mohammad Rasoul |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leveraging Convex Relaxation to Identify the Feasibility of Conducting AC False Data Injection Attack in Power Systems
by: Iranpour, Mohammadreza, et al.
Published: (2025)
by: Iranpour, Mohammadreza, et al.
Published: (2025)
AC False Data Injection Attacks in Power Systems: Design and Optimization
by: Iranpour, Mohammadreza, et al.
Published: (2024)
by: Iranpour, Mohammadreza, et al.
Published: (2024)
Designing Sparse AC False Data Injection Attack
by: Iranpour, Mohammadreza, et al.
Published: (2024)
by: Iranpour, Mohammadreza, et al.
Published: (2024)
Analyzing the Impact of AC False Data Injection Attacks on Power System Operation
by: Iranpour, Mohammadreza, et al.
Published: (2025)
by: Iranpour, Mohammadreza, et al.
Published: (2025)
Assessing EV Charging Impacts on Power Distribution Systems: A Unified Co-Simulation Framework
by: Iranpour, Mohammadreza, et al.
Published: (2025)
by: Iranpour, Mohammadreza, et al.
Published: (2025)
Tightening QC Relaxations of AC Optimal Power Flow through Improved Linear Convex Envelopes
by: Narimani, Mohammad Rasoul, et al.
Published: (2023)
by: Narimani, Mohammad Rasoul, et al.
Published: (2023)
Demand Charge Management: Prototype Design and Testing
by: Escarrega, Christian, et al.
Published: (2025)
by: Escarrega, Christian, et al.
Published: (2025)
Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem
by: Guo, Cheng, et al.
Published: (2022)
by: Guo, Cheng, et al.
Published: (2022)
Attention-Enhanced Graph Filtering for False Data Injection Attack Detection and Localization
by: Abdulin, Ruslan, et al.
Published: (2026)
by: Abdulin, Ruslan, et al.
Published: (2026)
Constructing Tight Quadratic Relaxations for Global Optimization: II. Underestimating Difference-of-Convex (D.C.) Functions
by: Strahl, William R., et al.
Published: (2024)
by: Strahl, William R., et al.
Published: (2024)
Constructing Tight Quadratic Relaxations for Global Optimization: I. Outer-Approximating Twice-Differentiable Convex Functions
by: Strahl, William R., et al.
Published: (2024)
by: Strahl, William R., et al.
Published: (2024)
All-Pass Fractional OPF: A Solver-Friendly, Physics-Preserving Approximation of AC OPF
by: Hasanzadeh, Milad, et al.
Published: (2026)
by: Hasanzadeh, Milad, et al.
Published: (2026)
Global and Robust Optimization for Non-Convex Quadratic Programs
by: Marousi, Asimina, et al.
Published: (2025)
by: Marousi, Asimina, et al.
Published: (2025)
Hybrid Quantum Branch-and-Bound Method for Quadratic Unconstrained Binary Optimization
by: Peng, Zedong, et al.
Published: (2025)
by: Peng, Zedong, et al.
Published: (2025)
A Quadratically-Constrained Convex Approximation for the AC Optimal Power Flow
by: Constante-Flores, Gonzalo E., et al.
Published: (2025)
by: Constante-Flores, Gonzalo E., et al.
Published: (2025)
Global Optimization of Gas Transportation and Storage: Convex Hull Characterizations and Relaxations
by: Okumusoglu, Bahar Cennet, et al.
Published: (2025)
by: Okumusoglu, Bahar Cennet, et al.
Published: (2025)
Applications of Lifted Nonlinear Cuts to Convex Relaxations of the AC Power Flow Equations
by: Bugosen, Sergio I., et al.
Published: (2024)
by: Bugosen, Sergio I., et al.
Published: (2024)
Data-Driven Stochastic AC-OPF using Gaussian Processes
by: Mitrovic, Mile
Published: (2024)
by: Mitrovic, Mile
Published: (2024)
Theoretical Perspectives on Jabr-Type Convex Relaxations for AC Optimal Power Flow
by: Riccardi, Gabor, et al.
Published: (2026)
by: Riccardi, Gabor, et al.
Published: (2026)
Perturbed Gradient Descent via Convex Quadratic Approximation for Nonconvex Bilevel Optimization
by: Abolfazli, Nazanin, et al.
Published: (2025)
by: Abolfazli, Nazanin, et al.
Published: (2025)
Learning to Relax Nonconvex Quadratically Constrained Quadratic Programs
by: Dedeoglu, Muge, et al.
Published: (2025)
by: Dedeoglu, Muge, et al.
Published: (2025)
On Representing Convex Quadratically Constrained Quadratic Programs via Graph Neural Networks
by: Wu, Chenyang, et al.
Published: (2024)
by: Wu, Chenyang, et al.
Published: (2024)
Solving Convex Quadratic Optimization with Indicators Over Structured Graphs
by: Bhathena, Aaresh, et al.
Published: (2026)
by: Bhathena, Aaresh, et al.
Published: (2026)
An Efficient Solution Method for Solving Convex Separable Quadratic Optimization Problems
by: Li, Shaoze, et al.
Published: (2025)
by: Li, Shaoze, et al.
Published: (2025)
A Parametric Approach for Solving Convex Quadratic Optimization with Indicators Over Trees
by: Bhathena, Aaresh, et al.
Published: (2024)
by: Bhathena, Aaresh, et al.
Published: (2024)
A Global Solution Algorithm for AC Optimal Power Flow through Linear Constrained Quadratic Programming
by: Barati, Masoud
Published: (2024)
by: Barati, Masoud
Published: (2024)
Exactness of the DNN Relaxation for Random Standard Quadratic Programs
by: Chen, Xin
Published: (2026)
by: Chen, Xin
Published: (2026)
Exactness Conditions for Semidefinite Relaxations of the Quadratic Assignment Problem
by: Chen, Junyu, et al.
Published: (2024)
by: Chen, Junyu, et al.
Published: (2024)
Data-Boosted Optimization for AC Optimal Power Flow: Interior-Point and Spatial Branching Methods
by: Repiso, Ignacio, et al.
Published: (2025)
by: Repiso, Ignacio, et al.
Published: (2025)
Complexity of Minimizing Regularized Convex Quadratic Functions
by: Thomsen, Daniel Berg, et al.
Published: (2024)
by: Thomsen, Daniel Berg, et al.
Published: (2024)
Broximal Alignment for Global Non-Convex Optimization
by: Gruntkowska, Kaja, et al.
Published: (2026)
by: Gruntkowska, Kaja, et al.
Published: (2026)
Non-Monotonicity of Branching Rules with respect to Linear Relaxations
by: Shah, Prachi, et al.
Published: (2024)
by: Shah, Prachi, et al.
Published: (2024)
A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks
by: Bastianello, Nicola, et al.
Published: (2018)
by: Bastianello, Nicola, et al.
Published: (2018)
Global Optimization via Quadratic Disjunctive Programming for Water Networks Design with Energy Recovery
by: Tristán, Carolina, et al.
Published: (2024)
by: Tristán, Carolina, et al.
Published: (2024)
On a Family of Relaxed Gradient Descent Methods for Quadratic Minimization
by: MacDonald, Liam, et al.
Published: (2024)
by: MacDonald, Liam, et al.
Published: (2024)
The Branch-and-Bound Tree Closure
by: Roland, Marius, et al.
Published: (2025)
by: Roland, Marius, et al.
Published: (2025)
Online Convex Optimization and Integral Quadratic Constraints: An automated approach to regret analysis
by: Jakob, Fabian, et al.
Published: (2025)
by: Jakob, Fabian, et al.
Published: (2025)
A Convex Optimization Approach to Compute Trapping Regions for Lossless Quadratic Systems
by: Liao, Shih-Chi, et al.
Published: (2024)
by: Liao, Shih-Chi, et al.
Published: (2024)
Self-Supervised Learning of Parametric Approximation for Security-Constrained DC-OPF
by: Anrrango, Anderson, et al.
Published: (2026)
by: Anrrango, Anderson, et al.
Published: (2026)
An Efficient Spatial Branch-and-Bound Algorithm for Global Optimization of Gaussian Process Posterior Mean Functions
by: Tang, Wei-Ting, et al.
Published: (2026)
by: Tang, Wei-Ting, et al.
Published: (2026)
Similar Items
-
Leveraging Convex Relaxation to Identify the Feasibility of Conducting AC False Data Injection Attack in Power Systems
by: Iranpour, Mohammadreza, et al.
Published: (2025) -
AC False Data Injection Attacks in Power Systems: Design and Optimization
by: Iranpour, Mohammadreza, et al.
Published: (2024) -
Designing Sparse AC False Data Injection Attack
by: Iranpour, Mohammadreza, et al.
Published: (2024) -
Analyzing the Impact of AC False Data Injection Attacks on Power System Operation
by: Iranpour, Mohammadreza, et al.
Published: (2025) -
Assessing EV Charging Impacts on Power Distribution Systems: A Unified Co-Simulation Framework
by: Iranpour, Mohammadreza, et al.
Published: (2025)