46 citations · 58 across the 12 of their papers we have counts for
10 papers · 1 filter
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…
Physics-Informed Deep Neural Network Method for Limited Observability State Estimation
Jonatan Ostrometzky, Konstantin Berestizshevsky, Andrey Bernstein +1
The precise knowledge regarding the state of the power grid is important in order to ensure optimal and reliable grid operation. Specifically, knowing the state of the distribution…
Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow
Yue Chen, Andrey Bernstein, Adithya Devraj +1
This paper examines the problem of real-time optimization of networked systems and develops online algorithms that steer the system towards the optimal trajectory without explicit…
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…
Aggregating Privacy-Conscious Distributed Energy Resources for Grid Service Provision
Jun-Xing Chin, Andrey Bernstein, Gabriela Hug
The increasing adoption of advanced metering infrastructure has led to growing concerns regarding privacy risks stemming from the high resolution measurements. This has given rise…
Towards robustness guarantees for feedback-based optimization
Marcello Colombino, John W. Simpson-Porco, Andrey Bernstein
Feedback-based online optimization algorithms have gained traction in recent years because of their simple implementation, their ability to reject disturbances in real time, and th…