activity
20182022
most citedMatrix Completion for Low-Observability Voltage Estimation

6 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

math.OC2022

Multi-Area Distribution System State Estimation via Distributed Tensor Completion

Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein

This paper proposes a model-free distribution system state estimation method based on tensor completion using canonical polyadic decomposition. In particular, we consider a setting…

eess.SY2020

Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition

Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein

As electric grids experience high penetration levels of renewable generation, fundamental changes are required to address real-time situational awareness. This paper uses unique tr…

math.OC2019

Decentralized Low-Rank State Estimation for Power Distribution Systems

April Sagan, Yajing Liu, Andrey Bernstein

This paper considers the low-observability state estimation problem in power distribution networks and develops a decentralized state estimation algorithm leveraging the matrix com…

math.OC2019

Matrix Completion Using Alternating Minimization for Distribution System State Estimation

Yajing Liu, April Sagan, Andrey Bernstein +3

This paper examines the problem of state estimation in power distribution systems under low-observability conditions. The recently proposed constrained matrix completion method whi…

math.OC2018★ 6 cited

Matrix Completion for Low-Observability Voltage Estimation

Priya L. Donti, Yajing Liu, Andreas J. Schmitt +3

With the rising penetration of distributed energy resources, distribution system control and enabling techniques such as state estimation have become essential to distribution syst…