24 citations · 114 across the 29 of their papers we have counts for
7 papers · 1 filter
Online learning for robust voltage control under uncertain grid topology
Christopher Yeh, Jing Yu, Yuanyuan Shi +1
Voltage control generally requires accurate information about the grid's topology in order to guarantee network stability. However, accurate topology identification is challenging…
Interface Networks for Failure Localization in Power Systems
Chen Liang, Alessandro Zocca, Steven H. Low +1
Transmission power systems usually consist of interconnected sub-grids that are operated relatively independently. When a failure happens, it is desirable to localize its impact wi…
Stability Constrained Reinforcement Learning for Real-Time Voltage Control
Yuanyuan Shi, Guannan Qu, Steven Low +2
Deep reinforcement learning (RL) has been recognized as a promising tool to address the challenges in real-time control of power systems. However, its deployment in real-world powe…
Real-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination
Tongxin Li, Steven H. Low, Adam Wierman
Aggregators have emerged as crucial tools for the coordination of distributed, controllable loads. However, to be used effectively, aggregators must be able to communicate the avai…
Line Failure Localization of Power Networks Part II: Cut Set Outages
Linqi Guo, Chen Liang, Alessandro Zocca +2
Transmission line failure in power systems prop-agate non-locally, making the control of the resulting outages extremely difficult. In Part II of this paper, we continue the study…
Line Failure Localization of Power Networks Part I: Non-cut Outages
Linqi Guo, Chen Liang, Alessandro Zocca +2
Transmission line failures in power systems propagate non-locally, making the control of the resulting outages extremely difficult. In this work, we establish a mathematical theory…