57 citations · 64 across the 8 of their papers we have counts for
8 papers
How Much Demand Flexibility Could Have Spared Texas from the 2021 Outage?
Dongqi Wu, Xiangtian Zheng, Ali Menati +5
The February 2021 Texas winter power outage has led to hundreds of deaths and billions of dollars in economic losses, largely due to the generation failure and record-breaking elec…
OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation
Rayan El Helou, Kiyeob Lee, Dongqi Wu +3
This paper presents OpenGridGym, an open-source Python-based package that allows for seamless integration of distribution market simulation with state-of-the-art artificial intelli…
A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Grids
Xiangtian Zheng, Nan Xu, Loc Trinh +5
The electric grid is a key enabling infrastructure for the ambitious transition towards carbon neutrality as we grapple with climate change. With deepening penetration of renewable…
PyProD: A Machine Learning-Friendly Platform for Protection Analytics in Distribution Systems
Dongqi Wu, Dileep Kalathil, Miroslav Begovic +1
This paper introduces PyProD, a Python-based machine learning (ML)-compatible test-bed for evaluating the efficacy of protection schemes in electric distribution grids. This testbe…
An Open-source Model for Simulation and Corrective Measure Assessment of the 2021 Texas Power Outage
Dongqi Wu, Xiangtian Zheng, Yixing Xu +4
Unprecedented winter storms that hit across Texas in February 2021 have caused at least 69 deaths and 4.5 million customer interruptions due to the wide-ranging generation capacity…
A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector
Guangchun Ruan, Dongqi Wu, Xiangtian Zheng +5
The novel coronavirus disease (COVID-19) has rapidly spread around the globe in 2020, with the U.S. becoming the epicenter of COVID-19 cases since late March. As the U.S. begins to…
Deep Reinforcement Learning-BasedRobust Protection in DER-Rich Distribution Grids
Dongqi Wu, Dileep Kalathil, Miroslav Begovic +1
This paper introduces the concept of Deep Reinforcement Learning based architecture for protective relay design in power distribution systems with many distributed energy resources…
Nested Reinforcement Learning Based Control for Protective Relays in Power Distribution Systems
Dongqi Wu, Xiangtian Zheng, Dileep Kalathil +1
This paper envisions a new control architecture for the protective relay setting in future power distribution systems. With deepening penetration of distributed energy resources at…