Image de couverture de livre

Modeling to Generate Alternatives for Robustness of Mixed Integer DC Optimal Power Flow

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Crozier, Constance
Format:	Preprint
Publié:	2025
Sujets:	Optimization and Control 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 Computationally Efficient Method for Solving Mixed-Integer AC Optimal Power Flow Problems
par: Heid, Johannes, et autres
Publié: (2025)

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

Learning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration
par: Ju, Caleb, et autres
Publié: (2024)

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

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

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

Chance-Constrained DC Optimal Power Flow Using Constraint-Informed Statistical Estimation
par: Yi, Tianyang, et autres
Publié: (2025)

Optimal Satellite Constellation Configuration Design: A Collection of Mixed Integer Linear Programs
par: Rogers, David O. Williams, et autres
Publié: (2025)

Fast Switching in Mixed-Integer Model Predictive Control
par: Makarow, Artemi, et autres
Publié: (2024)

Data-Driven Distributionally Robust Mixed-Integer Control through Lifted Control Policy
par: Ma, Xutao, et autres
Publié: (2025)

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)

Normalization of ReLU Dual for Cut Generation in Stochastic Mixed-Integer Programs
par: Bansal, Akul, et autres
Publié: (2026)

Mix-CALADIN: A Distributed Algorithm for Consensus Mixed-Integer Optimization
par: Han, Boyu, et autres
Publié: (2026)

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

Certified Inductive Synthesis for Online Mixed-Integer Optimization
par: Zamponi, Marco, et autres
Publié: (2025)

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)

ReLU Surrogates in Mixed-Integer MPC for Irrigation Scheduling
par: Agyeman, Bernard T., et autres
Publié: (2024)

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

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)

Robust Load Disturbance Rejection in PWM DC-DC Buck Converters
par: Pirrera, Simone, et autres
Publié: (2025)

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

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

Decentralized Robust Data-driven Predictive Control for Smoothing Mixed Traffic Flow
par: Shang, Xu, et autres
Publié: (2024)

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)

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

Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
par: Rosemberg, Andrew, et autres
Publié: (2025)

Computationally Tractable Robust Nonlinear Model Predictive Control using DC Programming
par: Doff-Sotta, Martin, et autres
Publié: (2026)

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

Vulnerability Analysis Evaluating Bilevel Optimal Power Flow Approaches for Multiple Load Cases
par: Tönges, Eric, et autres
Publié: (2025)

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

An Enhanced Semidefinite Relaxation Model Combined with Clique Graph Merging Strategy for Efficient AC Optimal Power Flow Solution
par: Ruan, Zhaojun, et autres
Publié: (2024)

Long Solution Times or Low Solution Quality: On Trade-Offs in Choosing a Power Flow Formulation for the Optimal Power Shutoff Problem
par: Haag, Eric, et autres
Publié: (2023)

The Robust Orlicz Risk with an Application to the Green Photovoltaic Power Generation
par: Yoshioka, H., et autres
Publié: (2023)

Modelling to Generate Continuous Alternatives: Enabling Real-Time Feasible Portfolio Generation in Convex Planning Models
par: Lau, Michael, et autres
Publié: (2024)

Distributionally Robust Model Predictive Control for Virtual Power Plants
par: Recke, Nikolas, et autres
Publié: (2026)

Optimal Battery Placement in Power Grid
par: Sun, Ruotong, et autres
Publié: (2025)