5 papers · 1 filter
Large Language Model as An Operator: An Experience-Driven Solution for Distribution Network Voltage Control
Xu Yang, Chenhui Lin, Licheng Sha +5
With the advanced reasoning, contextual understanding, and information synthesis capabilities of large language models (LLMs), a novel paradigm emerges for the autonomous generatio…
Two-Stage Active Distribution Network Voltage Control via LLM-RL Collaboration: A Hybrid Knowledge-Data-Driven Approach
Xu Yang, Chenhui Lin, Xiang Ma +4
The growing integration of distributed photovoltaics (PVs) into active distribution networks (ADNs) has exacerbated operational challenges, making it imperative to coordinate diver…
One Request, Multiple Experts: LLM Orchestrates Domain Specific Models via Adaptive Task Routing
Xu Yang, Chenhui Lin, Haotian Liu +3
With the integration of massive distributed energy resources and the widespread participation of novel market entities, the operation of active distribution networks (ADNs) is prog…
Physics-Informed Recurrent Network for State-Space Modeling of Gas Pipeline Networks
Siyuan Wang, Wenchuan Wu, Chenhui Lin +3
As a part of the integrated energy system (IES), gas pipeline networks can provide additional flexibility to power systems through coordinated optimal dispatch. An accurate pipelin…
RL2: Reinforce Large Language Model to Assist Safe Reinforcement Learning for Energy Management of Active Distribution Networks
Xu Yang, Chenhui Lin, Haotian Liu +1
As large-scale distributed energy resources are integrated into the active distribution networks (ADNs), effective energy management in ADNs becomes increasingly prominent compared…