Cover Image

LLM-Guided Safe Reinforcement Learning for Energy System Topology Reconfiguration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zongyan, Shen, Chao, Wan, Xu, Song, Jie, Sun, Mingyang
Format:	Preprint
Published:	2026
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ProOPF: Benchmarking and Improving LLMs for Professional-Grade Power Systems Optimization Modeling
by: Shen, Chao, et al.
Published: (2026)

LLM-DMD: Large Language Model-based Power System Dynamic Model Discovery
by: Shen, Chao, et al.
Published: (2026)

Universal Transient Stability Analysis: A Pre-trained Generative Transformer-Enabled Power System Dynamics Prediction Framework
by: Shen, Chao, et al.
Published: (2025)

Safe Reinforcement Learning for Power System Control: A Review
by: Yu, Peipei, et al.
Published: (2024)

A Safe and Data-efficient Model-based Reinforcement Learning System for HVAC Control
by: Ding, Xianzhong, et al.
Published: (2024)

Make Safe Decisions in Power System: Safe Reinforcement Learning Based Pre-decision Making for Voltage Stability Emergency Control
by: Bi, Congbo, et al.
Published: (2024)

MPC-Guided Safe Reinforcement Learning and Lipschitz-Based Filtering for Structured Nonlinear Systems
by: Kostelac, Patrick, et al.
Published: (2025)

How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?
by: Cheng, Xiaoyuan, et al.
Published: (2026)

Decision-Oriented Learning for Future Power System Decision-Making under Uncertainty
by: Li, Ran, et al.
Published: (2024)

Anytime Safe Reinforcement Learning
by: Mestres, Pol, et al.
Published: (2025)

Networked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network
by: Zhang, Jichen, et al.
Published: (2023)

A Review of Safe Reinforcement Learning Methods for Modern Power Systems
by: Su, Tong, et al.
Published: (2024)

Invisible Manipulation Deep Reinforcement Learning Enhanced Stealthy Attacks on Battery Energy Management Systems
by: Xiao, Qi, et al.
Published: (2024)

Safe and Optimal N-Spacecraft Swarm Reconfiguration in Non-Keplerian Cislunar Orbits
by: Takubo, Yuji, et al.
Published: (2025)

RL2: Reinforce Large Language Model to Assist Safe Reinforcement Learning for Energy Management of Active Distribution Networks
by: Yang, Xu, et al.
Published: (2024)

Feasible Policy Iteration for Safe Reinforcement Learning
by: Yang, Yujie, et al.
Published: (2023)

Guiding Reinforcement Learning with Incomplete System Dynamics
by: Wang, Shuyuan, et al.
Published: (2024)

Safely Learning Dynamical Systems
by: Ahmadi, Amir Ali, et al.
Published: (2023)

BAP-SRL: Bayesian Adaptive Priority Safe Reinforcement Learning for Vehicle Motion Planning at Mixed Traffic Intersections
by: Lian, Yuansheng, et al.
Published: (2026)

Universal Graph Learning for Power System Reconfigurations: Transfer Across Topology Variations
by: Wu, Tong, et al.
Published: (2025)

Safe Reinforcement Learning Using Robust MPC
by: Zanon, Mario, et al.
Published: (2019)

Safe Reinforcement Learning Beyond Baseline Control: A Hierarchical Framework for Space Triangle Tethered Formation System
by: Tao, Xinyi, et al.
Published: (2026)

Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement Learning
by: Zhou, Jingyuan, et al.
Published: (2024)

Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances
by: Lu, Ke, et al.
Published: (2024)

Risk-Aware Safe Reinforcement Learning for Control of Stochastic Linear Systems
by: Esmaeili, Babak, et al.
Published: (2025)

Topology-Aware Graph Reinforcement Learning for Energy Storage Systems Optimal Dispatch in Distribution Networks
by: Gao, Shuyi, et al.
Published: (2026)

Coordinated Dispatch of Energy Storage Systems in the Active Distribution Network: A Complementary Reinforcement Learning and Optimization Approach
by: Zhang, Bohan, et al.
Published: (2024)

Safe Imitation Learning-based Optimal Energy Storage Systems Dispatch in Distribution Networks
by: Hou, Shengren, et al.
Published: (2024)

Joint Design of Embedded Index Coding and Beamforming for MIMO-based Distributed Computing via Multi-Agent Reinforcement Learning
by: Song, Heekang, et al.
Published: (2025)

Convex Model Predictive Control for Safe Output Consensus of Nonlinear Multi-Agent Systems
by: Wang, Chao, et al.
Published: (2026)

Safe Reinforcement Learning-based Automatic Generation Control
by: Mohamed, Amr S., et al.
Published: (2025)

Communication-Efficient Approximate Gradient Coding for Distributed Learning in Heterogeneous Systems
by: Song, Heekang, et al.
Published: (2026)

Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies
by: Yan, Runze, et al.
Published: (2025)

Dynamic Power Management in Modular Reconfigurable Battery Systems with Energy and Power Modules
by: Pourhadi, Pouyan, et al.
Published: (2024)

LLM-Guided Reinforcement Learning with Representative Agents for Traffic Modeling
by: Sun, Hanlin, et al.
Published: (2025)

A Safe Reinforcement Learning Algorithm for Supervisory Control of Power Plants
by: Sun, Yixuan, et al.
Published: (2024)

Safe Control of Euler-Lagrange Systems with Limited Model Information
by: Wang, Yujie, et al.
Published: (2023)

SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning
by: Wan, Xu, et al.
Published: (2025)

Equitable Networked Microgrid Topology Reconfiguration for Wildfire Risk Mitigation
by: Zhou, Yuqi, et al.
Published: (2024)

Online Reinforcement Learning for Safe Gain Scheduling in Nonlinear Quadrotor Control
by: Zahed, Muhammad Junayed Hasan, et al.
Published: (2026)