Image de couverture de livre

Learning Interior Point Method Central Path Projection for Optimal Power Flow

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Amani, Farshad, Kargarian, Amin, Vaidyanathan, Ramachandran
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

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method
par: Amani, Farshad, et autres
Publié: (2024)

Learning Optimal Crew Dispatch for Grid Restoration Following an Earthquake
par: Amani, Farshad, et autres
Publié: (2025)

Event-Driven Deep RL Dispatcher for Post-Storm Distribution System Restoration
par: Amani, Farshad, et autres
Publié: (2026)

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

DPLib: A Standard Benchmark Library for Distributed Power System Analysis and Optimization
par: Hasanzadeh, Milad, et autres
Publié: (2025)

Dynamic Quantum Optimal Communication Topology Design for Consensus Control in Linear Multi-Agent Systems
par: Hasanzadeh, Milad, et autres
Publié: (2026)

Distributed Implementation of Variational Quantum Eigensolver to Solve QUBO Problems
par: Hasanzadeh, Milad, et autres
Publié: (2025)

D2-UC: A Distributed-Distributed Quantum-Classical Framework for Unit Commitment
par: Hasanzadeh, Milad, et autres
Publié: (2025)

Dynamic Quantum-Assisted Co-Design of Control Tuning and Lyapunov Stability Synthesis for Nonlinear Systems
par: Hasanzadeh, Milad, et autres
Publié: (2026)

Learning Constraint Surrogate Model for Two-stage Stochastic Unit Commitment
par: Javadi, Amir Bahador, et autres
Publié: (2025)

All-Pass Fractional OPF: A Solver-Friendly, Physics-Preserving Approximation of AC OPF
par: Hasanzadeh, Milad, et autres
Publié: (2026)

A Non-Interior-Point Continuation Method for the Optimal Control Problem with Equilibrium Constraints
par: Lin, Kangyu, et autres
Publié: (2022)

A Survey on Applications of Quantum Computing for Unit Commitment
par: Hasanzadeh, Milad, et autres
Publié: (2026)

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

Automatic Regression for Governing Equations with Control (ARGOSc)
par: Javadi, Amir Bahador, et autres
Publié: (2025)

A Log-domain Interior Point Method for Convex Quadratic Games
par: Liu, Bingqi, et autres
Publié: (2024)

Constrained Optimization on Matrix Lie Groups via Interior-Point Method
par: Santos, Aclécio J., et autres
Publié: (2026)

Customized Interior-Point Methods Solver for Embedded Real-Time Convex Optimization
par: Jang, Jae-Il, et autres
Publié: (2025)

Learning Optimal Power Flow with Pointwise Constraints
par: Owerko, Damian, et autres
Publié: (2025)

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

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

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

Flight Path Optimization with Optimal Control Method
par: Su, Gaofeng, et autres
Publié: (2024)

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

Quantum Hardware-in-the-Loop for Optimal Power Flow in Renewable-Integrated Power Systems
par: Kaseb, Zeynab, et autres
Publié: (2025)

Available Transfer Capability Calculation for Wind-Integrated Power Systems Considering Wind Speed Spatiotemporal Correlation and Primal-Dual Interior Point Method
par: Huangpu, Xia-Liang
Publié: (2024)

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

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

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

Data-Boosted Optimization for AC Optimal Power Flow: Interior-Point and Spatial Branching Methods
par: Repiso, Ignacio, et autres
Publié: (2025)

Optimal Current Control Strategy for Reliable Power Electronics Converters: Frequency-Domain Approach
par: Rezaeizadeh, Amin, et autres
Publié: (2025)

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

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

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

Certifying the Nonexistence of Feasible Path Between Power System Operating Points
par: Narimani, Mohammad Rasoul, et autres
Publié: (2025)

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

Scaling Laws of Machine Learning for Optimal Power Flow
par: Liu, Xinyi, et autres
Publié: (2026)

Learning the Optimal Power Flow: Environment Design Matters
par: Wolgast, Thomas, et autres
Publié: (2024)

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

Optimal Placement of Data Centers to Support Power Distribution Networks Using Intelligent Algorithms with Economic Indicators
par: Hajihasani, Amin, et autres
Publié: (2025)