activity
20202024
most citedOnline Scheduling of a Residential Microgrid via Monte-Carlo Tree Search and a Learned Model

100 citations · 160 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2024★ 57 cited

Physics-Informed Kolmogorov-Arnold Networks for Power System Dynamics

Hang Shuai, Fangxing Li

This paper presents, for the first time, a framework for Kolmogorov-Arnold Networks (KANs) in power system applications. Inspired by the recently proposed KAN architecture, this pa…

eess.SY2023

Modeling the impact of extreme summer drought on conventional and renewable generation capacity: methods and a case study on the Eastern U.S. power system

Hang Shuai, Fangxing Li, Jinxiang Zhu +2

The United States has witnessed a growing prevalence of droughts in recent years, posing significant challenges to water supplies and power generation. The resulting impacts on pow…

eess.SY2021★ 2 cited

Double Deep Q-learning Based Real-Time Optimization Strategy for Microgrids

Hang Shuai, Xiaomeng Ai, Jiakun Fang +2

The uncertainties from distributed energy resources (DERs) bring significant challenges to the real-time operation of microgrids. In addition, due to the nonlinear constraints in t…

eess.SY2021★ 1 cited

Branching Dueling Q-Network Based Online Scheduling of a Microgrid With Distributed Energy Storage Systems

Hang Shuai, Fangxing, Li +2

This letter investigates a Branching Dueling Q-Network (BDQ) based online operation strategy for a microgrid with distributed battery energy storage systems (BESSs) operating under…

eess.SY2020

AlphaZero Based Post-Storm Repair Crew Dispatch for Distribution Grid Restoration

Hang Shuai, Fangxing, Li

Natural disasters such as storms usually bring significant damages to distribution grids. This paper investigates the optimal routing of utility vehicles to restore outages in the…

eess.SY2020★ 100 cited

Online Scheduling of a Residential Microgrid via Monte-Carlo Tree Search and a Learned Model

Hang Shuai, Haibo He

The uncertainty of distributed renewable energy brings significant challenges to economic operation of microgrids. Conventional online optimization approaches require a forecast mo…