46 citations · 58 across the 12 of their papers we have counts for
9 papers · 1 filter
A Generalized LinDistFlow Model for Power Flow Analysis
Jianqiao Huang, Bai Cui, Xinyang Zhou +1
This paper proposes a new linear power flow model for distribution system with accurate voltage magnitude estimates. The new model can be seen as a generalization of LinDistFlow mo…
Ripple-Type Control for Enhancing Resilience of Networked Physical Systems
Manish K. Singh, Guido Cavraro, Andrey Bernstein +1
Distributed control agents have been advocated as an effective means for improving the resiliency of our physical infrastructures under unexpected events. Purely local control has…
Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search
Xiangyu Zhang, Rohit Chintala, Andrey Bernstein +2
In this paper, we develop a grid-interactive multi-zone building controller based on a deep reinforcement learning (RL) approach. The controller is designed to facilitate building…
Grid-forming frequency shaping control
Yan Jiang, Andrey Bernstein, Petr Vorobev +1
As power systems transit to a state of high renewable penetration, little or no presence of synchronous generators makes the prerequisite of well-regulated frequency for grid-follo…
Online State Estimation for Time-Varying Systems
Guido Cavraro, Emiliano Dall'Anese, Joshua Comden +1
The paper investigates the problem of estimating the state of a time-varying system with a linear measurement model; in particular, the paper considers the case where the number of…
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…