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Andrey Bernstein
Andrey Bernstein
Principal Researcher and Group Manager, National Renewable Energy Laboratory (NREL)
Verified email at nrel.gov
Title
Cited by
Cited by
Year
Power grid vulnerability to geographically correlated failures—Analysis and control implications
A Bernstein, D Bienstock, D Hay, M Uzunoglu, G Zussman
IEEE INFOCOM 2014-IEEE conference on computer communications, 2634-2642, 2014
2282014
Load-Flow in Multiphase Distribution Networks: Existence, Uniqueness, Non-Singularity and Linear Models
A Bernstein, C Wang, E Dall'Anese, JYL Boudec, C Zhao
IEEE Transactions on Power Systems, 2018, 2017
179*2017
A composable method for real-time control of active distribution networks with explicit power setpoints. Part I: Framework
A Bernstein, L Reyes-Chamorro, JY Le Boudec, M Paolone
Electric Power Systems Research 125, 254-264, 2015
1532015
Network-cognizant voltage droop control for distribution grids
K Baker, A Bernstein, E Dall’Anese, C Zhao
IEEE Transactions on Power Systems 33 (2), 2098-2108, 2017
1462017
Online optimization as a feedback controller: Stability and tracking
M Colombino, E Dall’Anese, A Bernstein
IEEE Transactions on Control of Network Systems 7 (1), 422-432, 2019
1402019
Linear power-flow models in multiphase distribution networks
A Bernstein, E Dall'Anese
2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2017
1302017
Real-time feedback-based optimization of distribution grids: A unified approach
A Bernstein, E Dall’Anese
IEEE Transactions on Control of Network Systems 6 (3), 1197-1209, 2019
1272019
Explicit conditions on existence and uniqueness of load-flow solutions in distribution networks
C Wang, A Bernstein, JY Le Boudec, M Paolone
IEEE Transactions on Smart Grid 9 (2), 953-962, 2016
1272016
Online primal-dual methods with measurement feedback for time-varying convex optimization
A Bernstein, E Dall'Anese, A Simonetto
IEEE Transactions on Signal Processing 67 (8), 1978-1991, 2019
1032019
Matrix completion for low-observability voltage estimation
PL Donti, Y Liu, AJ Schmitt, A Bernstein, R Yang, Y Zhang
IEEE Transactions on Smart Grid 11 (3), 2520-2530, 2019
782019
Joint chance constraints in AC optimal power flow: Improving bounds through learning
K Baker, A Bernstein
IEEE Transactions on Smart Grid 10 (6), 6376-6385, 2019
672019
Autonomous energy grids: Controlling the future grid with large amounts of distributed energy resources
B Kroposki, A Bernstein, J King, D Vaidhynathan, X Zhou, CY Chang, ...
IEEE Power and Energy Magazine 18 (6), 37-46, 2020
622020
Towards robustness guarantees for feedback-based optimization
M Colombino, JW Simpson-Porco, A Bernstein
2019 IEEE 58th Conference on Decision and Control (CDC), 6207-6214, 2019
502019
Sensitivity analysis of the power grid vulnerability to large-scale cascading failures
A Bernstein, D Bienstock, D Hay, M Uzunoglu, G Zussman
ACM SIGMETRICS Performance Evaluation Review 40 (3), 33-37, 2012
492012
A composable method for real-time control of active distribution networks with explicit power setpoints. Part II: Implementation and validation
L Reyes-Chamorro, A Bernstein, JY Le Boudec, M Paolone
Electric Power Systems Research 125, 265-280, 2015
472015
Existence and uniqueness of load-flow solutions in three-phase distribution networks
C Wang, A Bernstein, JY Le Boudec, M Paolone
IEEE Transactions on Power Systems 32 (ARTICLE), 3319-3320, 2017
462017
Adaptive-resolution reinforcement learning with polynomial exploration in deterministic domains
A Bernstein, N Shimkin
Machine learning 81, 359-397, 2010
382010
Challenges and opportunities in decarbonizing the US energy system
DJ Arent, P Green, Z Abdullah, T Barnes, S Bauer, A Bernstein, D Berry, ...
Renewable and Sustainable Energy Reviews 169, 112939, 2022
372022
Online data-enabled predictive control
S Baros, CY Chang, GE Colon-Reyes, A Bernstein
Automatica 138, 109926, 2022
362022
Network-cognizant time-coupled aggregate flexibility of distribution systems under uncertainties
B Cui, A Zamzam, A Bernstein
2021 American Control Conference (ACC), 4178-4183, 2021
352021
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