Cover Image

A Deep Neural Network-based Frequency Predictor for Frequency-Constrained Optimal Power Flow

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Fan, Li, Xingpeng, Van Hentenryck, Pascal
Format:	Preprint
Published:	2025
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Neural Network-Enhanced Frequency-Constrained Optimal Power Flow with Multi-Governor Dynamics
by: Jiang, Fan, et al.
Published: (2026)

Inertia-Constrained Generation Scheduling: Sample Selection, Learning-Embedded Optimization Modeling, and Computational Enhancement
by: Tuo, Mingjian, et al.
Published: (2023)

Machine Learning-assisted Dynamics-Constrained Day-Ahead Energy Scheduling
by: Tuo, Mingjian, et al.
Published: (2023)

Frequency-Dynamics-Aware Economic Dispatch with Optimal Grid-Forming Inverter Allocation and Reserved Power Headroom
by: Jiang, Fan, et al.
Published: (2025)

Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
by: Rosemberg, Andrew, et al.
Published: (2025)

Graph Neural Network-Accelerated Network-Reconfigured Optimal Power Flow
by: Pham, Thuan, et al.
Published: (2024)

Reduced Optimal Power Flow Using Graph Neural Network
by: Pham, Thuan, et al.
Published: (2022)

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow
by: Klamkin, Michael, et al.
Published: (2025)

N-1 Reduced Optimal Power Flow Using Augmented Hierarchical Graph Neural Network
by: Pham, Thuan, et al.
Published: (2024)

Constraints and Variables Reduction for Optimal Power Flow Using Hierarchical Graph Neural Networks with Virtual Node-Splitting
by: Pham, Thuan, et al.
Published: (2024)

Self-Supervised Learning for Large-Scale Preventive Security Constrained DC Optimal Power Flow
by: Park, Seonho, et al.
Published: (2023)

Linearization of ReLU Activation Function for Neural Network-Embedded Optimization: Optimal Day-Ahead Energy Scheduling
by: Zhao, Cunzhi, et al.
Published: (2023)

Regional Frequency-Constrained Planning for the Optimal Sizing of Power Systems via Enhanced Input Convex Neural Networks
by: Wang, Yi, et al.
Published: (2025)

Optimal Power Scheduling for High Renewables-Integrated Energy Systems with Battery Storage
by: Zhao, Cunzhi, et al.
Published: (2023)

Parallel Batch Scheduling With Incompatible Job Families Via Constraint Programming
by: Huertas, Jorge A., et al.
Published: (2024)

Dual Conic Proxies for AC Optimal Power Flow
by: Qiu, Guancheng, et al.
Published: (2023)

High-Spatial Resolution Transmission and Storage Expansion Planning for High Renewable Grids: A Case Study
by: Wu, Kevin, et al.
Published: (2024)

Volt/VAR Optimization in Transmission Networks with Discrete-Control Devices
by: Tong, Shuaicheng, et al.
Published: (2026)

Frequency Control and Optimal Power Sharing in Combined Power and Heating Networks with Heat Pumps
by: Qin, Xin, et al.
Published: (2025)

Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow
by: Qiu, Guancheng, et al.
Published: (2025)

Inverse Chance Constrained Optimal Power Flow
by: Wang, Shenglu, et al.
Published: (2025)

A Corrective Frequency-Constrained Unit Commitment with Data-driven Estimation of Optimal UFLS in Island Power Systems
by: Sarvarizadeh, Miad, et al.
Published: (2025)

High-Resolution PTDF-Based Planning of Storage and Transmission Under High Renewables
by: Wu, Kevin, et al.
Published: (2025)

Electricity-Aware Bid Format for Coordinated Heat and Electricity Market Clearing
by: Mitridati, Lesia, et al.
Published: (2020)

Strong Mixed-Integer Formulations for Transmission Expansion Planning with FACTS Devices
by: Wu, Kevin, et al.
Published: (2023)

Data Center Spatio-Temporal Load Flexibility in Security-Constrained Unit Commitment for Enhanced Grid Efficiency and Reliability
by: Wan, Haoxiang, et al.
Published: (2026)

Optimal Loss Reduction in Distribution Networks Using Conservation Voltage Reduction and Network Topology Reconfiguration
by: Fatima, Rida, et al.
Published: (2026)

Frequency Nadir-Constrained Power System Restoration Planning with Energy Storage
by: Zou, Xiangyu, et al.
Published: (2026)

Stability-Constrained Learning for Frequency Regulation in Power Grids with Variable Inertia
by: Feng, Jie, et al.
Published: (2024)

Optimal BESS Sizing and Placement for Mitigating EV-Induced Voltage Violations: A Scalable Spatio-Temporal Adaptive Targeting Strategy
by: Fang, Linhan, et al.
Published: (2025)

Transmission Expansion Planning for Renewable-energy-dominated Power Grids Considering Climate Impact
by: Lu, Jin, et al.
Published: (2023)

Frequency Control and Power Sharing in Combined Heat and Power Networks
by: Qin, Xin, et al.
Published: (2025)

Decentralized Stability-Constrained Optimal Power Flow for Inverter-Based Power Systems
by: Wang, Shigeng, et al.
Published: (2026)

Frequency Constrained MPC for Efficient Grid Side Operation of Wind Power Conversion Systems
by: Karaca, Orcun, et al.
Published: (2024)

A Comparative Study on Frequency-Constrained Unit Commitment Approaches in Island Power Systems
by: Sarvarizadeh, Miad, et al.
Published: (2025)

A Scenario-based Stochastic Model of using BESS-based Virtual Transmission Lines in Day-Ahead Unit Commitment
by: Wang, Qiushi, et al.
Published: (2025)

Frequency Stability-Constrained Unit Commitment: Tight Approximation using Bernstein Polynomials
by: Zhou, Bo, et al.
Published: (2022)

Hierarchical Deep Learning Model for Degradation Prediction per Look-Ahead Scheduled Battery Usage Profile
by: Zhao, Cunzhi, et al.
Published: (2023)

A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow
by: Cao, Yuji, et al.
Published: (2024)

A Black Start Strategy for Hydrogen-integrated Renewable Grids with Energy Storage Systems
by: Lu, Jin, et al.
Published: (2025)