6 papers
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…
Novel discretization method to calculate g-functions of vertical geothermal boreholes with improved accuracy and efficiency
Yue Yang, Xiaodong Yang, Chenhui Lin +4
The calculation of g-functions is essential for the design and simulation of geothermal boreholes. However, existing methods, such as the stacked finite line source (SFLS) model, f…
Large Language Model Powered Automated Modeling and Optimization of Active Distribution Network Dispatch Problems
Xu Yang, Chenhui Lin, Yue Yang +4
The increasing penetration of distributed energy resources into active distribution networks (ADNs) has made effective ADN dispatch imperative. However, the numerous newly-integrat…
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…
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…