Publications (14)
Graph Attention Networks Unleashed: A Fast and Explainable Vulnerability Assessment Framework for Microgrids
Wei Liu, Tao Zhang, Chenhui Lin +2
Independent microgrids are crucial for supplying electricity by combining distributed energy resources and loads in scenarios like isolated islands and field combat. Fast and accur…
Sufficient Conditions for the Exact Relaxation of Complementarity Constraints for Storages in Multi-period OPF Problems
Qi Wang, Wenchuan Wu, Chenhui Lin +2
Storage-concerned Optimal Power Flow (OPF) with complementarity constraints is highly non-convex and intractable. In this paper, we propose two generalized sufficient conditions wh…
A Dynamic Equivalent Energy Storage Model of Natural Gas Networks for Joint Optimal Dispatch of Electricity-Gas Systems
Siyuan Wang, Wenchuan Wu, Chenhui Lin +1
The development of energy conversion techniques enhances the coupling between the gas network and power system. However, challenges remain in the joint optimal dispatch of electric…
Learning to Sample in Variable Neighborhood Search Algorithm for Urban Cable Routing Optimization
Wei Liu, Tao Zhang, Chenhui Lin +3
Urban underground cable construction is essential for enhancing power grid reliability, yet the high construction costs demand systematic optimization. Constrained by road network…
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…
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…
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…
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…
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…
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…
A Spatio-temporal Decomposition Method for the Coordinated Economic Dispatch of Integrated Transmission and Distribution Grids
Qi Wang, Wenchuan Wu, Chenhui Lin +1
With numerous distributed energy resources (DERs) integrated into the distribution networks (DNs), the coordinated economic dispatch (C-ED) is essential for the integrated transmis…
A Nested Decomposition Method and Its Application for Coordinated Operation of Hierarchical Electrical Power Grids
Chenhui Lin, Wenchuan Wu
Multilevel, multiarea, and hierarchically interconnected electrical power grids confront substantial challenges with the increasing integration of many volatile energy resources. T…
PyOptInterface: Design and implementation of an efficient modeling language for mathematical optimization
Yue Yang, Chenhui Lin, Luo Xu +1
This paper introduces the design and implementation of PyOptInterface, a modeling language for mathematical optimization embedded in Python programming language. PyOptInterface use…
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…