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

no code implementations • 13 Nov 2023 • Hang Shuai, Fangxing Li, Jinxiang Zhu, William Jerome Tingen II, Srijib Mukherjee

This paper proposes a systematic, analytical approach for assessing the impacts of extreme summer drought events on the available capacity of hydro, thermal, and renewable energy generators.

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

no code implementations • 27 Jul 2021 • Hang Shuai, Xiaomeng Ai, Jiakun Fang, Wei Yao, Senior Member, Jinyu Wen, Member, IEEE

It is challenging to solve this kind of stochastic nonlinear optimization problem.

Q-Learning

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

no code implementations • 27 May 2021 • Hang Shuai, Fangxing, Li, Hector Pulgar-Painemal, Yaosuo Xue

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 uncertainties.

reinforcement-learning Reinforcement Learning (RL) +1

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

no code implementations • 14 Oct 2020 • Hang Shuai, Fangxing, Li

Natural disasters such as storms usually bring significant damages to distribution grids.

Navigate Stochastic Optimization