Distributed Reinforcement Learning using Local Smart Meter Data for Voltage Regulation in Distribution Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Dong, Giraldo, Juan S., Palensky, Peter, Vergara, Pedro P. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Physics-Informed Reinforcement Learning for Large-Scale EV Smart Charging Considering Distribution Network Voltage Constraints
by: Orfanoudakis, Stavros, et al.
Published: (2025)
by: Orfanoudakis, Stavros, et al.
Published: (2025)
Model-Free Privacy Preserving Power Flow Analysis in Distribution Networks
by: Liu, Dong, et al.
Published: (2025)
by: Liu, Dong, et al.
Published: (2025)
SmartMeterFM: Unifying Smart Meter Data Generative Tasks Using Flow Matching Models
by: Lin, Nan, et al.
Published: (2026)
by: Lin, Nan, et al.
Published: (2026)
Safe Imitation Learning-based Optimal Energy Storage Systems Dispatch in Distribution Networks
by: Hou, Shengren, et al.
Published: (2024)
by: Hou, Shengren, et al.
Published: (2024)
Topology-Aware Graph Reinforcement Learning for Energy Storage Systems Optimal Dispatch in Distribution Networks
by: Gao, Shuyi, et al.
Published: (2026)
by: Gao, Shuyi, et al.
Published: (2026)
Two-Stage Robust Optimal Operation of Distribution Networks Considering Renewable Energy and Demand Asymmetric Uncertainties
by: Xiong, Zhisheng, et al.
Published: (2024)
by: Xiong, Zhisheng, et al.
Published: (2024)
Robust Operation of Distribution Networks: Generalized Uncertainty Modelling in Confidence-Level-Based Information Gap Decision
by: Xiong, Zhisheng, et al.
Published: (2026)
by: Xiong, Zhisheng, et al.
Published: (2026)
EnergyDiff: Universal Time-Series Energy Data Generation using Diffusion Models
by: Lin, Nan, et al.
Published: (2024)
by: Lin, Nan, et al.
Published: (2024)
Optimizing Electric Vehicles Charging using Large Language Models and Graph Neural Networks
by: Orfanoudakis, Stavros, et al.
Published: (2025)
by: Orfanoudakis, Stavros, et al.
Published: (2025)
Optimal Droop Control Strategy for Coordinated Voltage Regulation and Power Sharing in Hybrid AC-MTDC Systems
by: Du, Hongjin, et al.
Published: (2025)
by: Du, Hongjin, et al.
Published: (2025)
RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active Distribution Networks
by: Hou, Shengren, et al.
Published: (2024)
by: Hou, Shengren, et al.
Published: (2024)
Risk-Based PV-Rich Distribution System Planning Using Generative AI
by: Kefale, Habtemariam Aberie, et al.
Published: (2026)
by: Kefale, Habtemariam Aberie, et al.
Published: (2026)
Power flow and optimal power flow using quantum and digital annealers: a computational scalability analysis
by: Kaseb, Zeynab, et al.
Published: (2025)
by: Kaseb, Zeynab, et al.
Published: (2025)
Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction
by: Lin, Nan, et al.
Published: (2024)
by: Lin, Nan, et al.
Published: (2024)
Voltage Regulation in Distribution Systems with Data Center Loads
by: Chen, Yize, et al.
Published: (2025)
by: Chen, Yize, et al.
Published: (2025)
GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments
by: Orfanoudakis, Stavros, et al.
Published: (2025)
by: Orfanoudakis, Stavros, et al.
Published: (2025)
Adaptive Informed Deep Neural Networks for Power Flow Analysis
by: Kaseb, Zeynab, et al.
Published: (2024)
by: Kaseb, Zeynab, et al.
Published: (2024)
A data-driven approach for topology correction in low voltage distribution networks with PVs
by: Liu, Dong, et al.
Published: (2025)
by: Liu, Dong, et al.
Published: (2025)
A Framework for Solving Continuous Energy and Power System Problems using Adiabatic Quantum Computing
by: Kaseb, Zeynab, et al.
Published: (2025)
by: Kaseb, Zeynab, et al.
Published: (2025)
On future power system digital twins: A vision towards a standard architecture
by: Zomerdijk, Wouter, et al.
Published: (2024)
by: Zomerdijk, Wouter, et al.
Published: (2024)
Time and Frequency Domain-based Anomaly Detection in Smart Meter Data for Distribution Network Studies
by: Labura, Petar, et al.
Published: (2025)
by: Labura, Petar, et al.
Published: (2025)
High-Speed Voltage Control in Active Distribution Systems with Smart Inverter Coordination and Deep Reinforcement Learning
by: Golgol, Mohammad, et al.
Published: (2023)
by: Golgol, Mohammad, et al.
Published: (2023)
A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and Prediction
by: Xia, Weijie, et al.
Published: (2024)
by: Xia, Weijie, et al.
Published: (2024)
Enhanced Optimal Power Flow Based Droop Control in MMC-MTDC Systems
by: Du, Hongjin, et al.
Published: (2024)
by: Du, Hongjin, et al.
Published: (2024)
Tensor Power Flow Formulations for Multidimensional Analyses in Distribution Systems
by: Duque, Edgar Mauricio Salazar, et al.
Published: (2024)
by: Duque, Edgar Mauricio Salazar, et al.
Published: (2024)
Optimal Voltage Regulation of Unbalanced Distribution Networks with Coordination of OLTC and PV Generation
by: Li, Changfu, et al.
Published: (2019)
by: Li, Changfu, et al.
Published: (2019)
Performance Comparison of Gate-Based and Adiabatic Quantum Computing for AC Power Flow Problem
by: Kaseb, Zeynab, et al.
Published: (2025)
by: Kaseb, Zeynab, et al.
Published: (2025)
Distributed Online Feedback Optimization for Real-time Distribution System Voltage Regulation
by: Zhan, Sen, et al.
Published: (2024)
by: Zhan, Sen, et al.
Published: (2024)
Quantum Neural Networks for Power Flow Analysis
by: Kaseb, Zeynab, et al.
Published: (2023)
by: Kaseb, Zeynab, et al.
Published: (2023)
Learning with Adaptive Conservativeness for Distributionally Robust Optimization: Incentive Design for Voltage Regulation
by: Liang, Zhirui, et al.
Published: (2024)
by: Liang, Zhirui, et al.
Published: (2024)
Fairness-aware Photovoltaic Generation Limits for Voltage Regulation in Power Distribution Networks using Conservative Linear Approximations
by: Gupta, Rahul K., et al.
Published: (2024)
by: Gupta, Rahul K., et al.
Published: (2024)
Online Voltage Regulation of Distribution Systems with Disturbance-Action Controllers
by: Zhang, Peng, et al.
Published: (2024)
by: Zhang, Peng, et al.
Published: (2024)
Analysis of Fairness-promoting Optimization Schemes of Photovoltaic Curtailments for Voltage Regulation in Power Distribution Networks
by: Gupta, Rahul K., et al.
Published: (2024)
by: Gupta, Rahul K., et al.
Published: (2024)
A Simulation Tool for V2G Enabled Demand Response Based on Model Predictive Control
by: Diaz-Londono, Cesar, et al.
Published: (2024)
by: Diaz-Londono, Cesar, et al.
Published: (2024)
Analytical Probabilistic Power Flow Approximation Using Invertible Neural Networks
by: Xia, Weijie, et al.
Published: (2026)
by: Xia, Weijie, et al.
Published: (2026)
Decentralized Local Voltage Control for Active Distribution Networks
by: Fernandes, Diana Vieira, et al.
Published: (2025)
by: Fernandes, Diana Vieira, et al.
Published: (2025)
Quantum-Enhanced Reinforcement Learning for Accelerating Newton-Raphson Convergence with Ising Machines: A Case Study for Power Flow Analysis
by: Kaseb, Zeynab, et al.
Published: (2025)
by: Kaseb, Zeynab, et al.
Published: (2025)
Underdetermined Library-aided Impedance Estimation with Terminal Smart Meter Data
by: Rosato, Federico, et al.
Published: (2026)
by: Rosato, Federico, et al.
Published: (2026)
Cyber Attacks Detection, Prevention, and Source Localization in Digital Substation Communication using Hybrid Statistical-Deep Learning
by: Cibin, Nicola, et al.
Published: (2025)
by: Cibin, Nicola, et al.
Published: (2025)
Offline Reinforcement Learning for Microgrid Voltage Regulation
by: Yang, Shan, et al.
Published: (2025)
by: Yang, Shan, et al.
Published: (2025)
Similar Items
-
Physics-Informed Reinforcement Learning for Large-Scale EV Smart Charging Considering Distribution Network Voltage Constraints
by: Orfanoudakis, Stavros, et al.
Published: (2025) -
Model-Free Privacy Preserving Power Flow Analysis in Distribution Networks
by: Liu, Dong, et al.
Published: (2025) -
SmartMeterFM: Unifying Smart Meter Data Generative Tasks Using Flow Matching Models
by: Lin, Nan, et al.
Published: (2026) -
Safe Imitation Learning-based Optimal Energy Storage Systems Dispatch in Distribution Networks
by: Hou, Shengren, et al.
Published: (2024) -
Topology-Aware Graph Reinforcement Learning for Energy Storage Systems Optimal Dispatch in Distribution Networks
by: Gao, Shuyi, et al.
Published: (2026)