activity
20172021
most citedGuiding Cascading Failure Search with Interpretable Graph Convolutional Network

15 citations · 26 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2021★ 1 cited

Topology and Admittance Estimation: Precision Limits and Algorithms

Yuxiao Liu, Ning Zhang, Qingchun Hou +2

Distribution grid topology and admittance information are essential for system planning, operation, and protection. In many distribution grids, missing or inaccurate topology and a…

eess.SP2020★ 15 cited

Guiding Cascading Failure Search with Interpretable Graph Convolutional Network

Yuxiao Liu, Ning Zhang, Dan Wu +3

Power system cascading failures become more time variant and complex because of the increasing network interconnection and higher renewable energy penetration. High computational c…

eess.SY2019

Fast Power System Cascading Failure Path Searching with High Wind Power Penetration

Yuxiao Liu, Yi Wang, Pei Yong +3

Cascading failures have become a severe threat to interconnected modern power systems. The ultrahigh complexity of the interconnected networks is the main challenge toward the unde…

cs.LG2019

Bounding Regression Errors in Data-driven Power Grid Steady-state Models

Yuxiao Liu, Bolun Xu, Audun Botterud +2

Data-driven models analyze power grids under incomplete physical information, and their accuracy has been mostly validated empirically using certain training and testing datasets.…

eess.SY2017★ 10 cited

Data-Driven Power Flow Linearization: A Regression Approach

Yuxiao Liu, Ning Zhang, Yi Wang +2

The linearization of a power flow (PF) model is an important approach for simplifying and accelerating the calculation of a power system's control, operation, and optimization. Tra…