936 citations · 3.7k across the 72 of their papers we have counts for
77 papers
Tractable Identification of Electric Distribution Networks
Ognjen Stanojev, Lucien Werner, Steven Low +1
The identification of distribution network topology and parameters is a critical problem that lays the foundation for improving network efficiency, enhancing reliability, and incre…
Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control
Jie Feng, Yuanyuan Shi, Guannan Qu +3
Deep reinforcement learning has been recognized as a promising tool to address the challenges in real-time control of power systems. However, its deployment in real-world power sys…
A Three-phase Power Flow Model and Balanced Network Analysis
Steven H. Low
First we present an approach to formulate unbalanced three-phase power flow problems for general networks that explicitly separates device models and network models. A device model…
DeepOPF-AL: Augmented Learning for Solving AC-OPF Problems with Multiple Load-Solution Mappings
Xiang Pan, Wanjun Huang, Minghua Chen +1
The existence of multiple load-solution mappings of non-convex AC-OPF problems poses a fundamental challenge to deep neural network (DNN) schemes. As the training dataset may conta…
Towards Balanced Three-phase Charging: Phase Optimization in Adaptive Charging Networks
Zixin Ye, Tongxin Li, Steven H. Low
We study the problem of phase optimization for electric-vehicle (EV) charging. We formulate our problem as a non-convex mixed-integer programming problem whose objective is to mini…
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…