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Samuel Chevalier
Samuel Chevalier
Assistant Professor at UVM
Verified email at elektro.dtu.dk - Homepage
Title
Cited by
Cited by
Year
Using effective generator impedance for forced oscillation source location
SC Chevalier, P Vorobev, K Turitsyn
IEEE Transactions on Power Systems 33 (6), 6264-6277, 2018
492018
A Bayesian approach to forced oscillation source location given uncertain generator parameters
S Chevalier, P Vorobev, K Turitsyn
IEEE Transactions on Power Systems 34 (2), 1641-1649, 2018
432018
Modeling the AC power flow equations with optimally compact neural networks: Application to unit commitment
A Kody, S Chevalier, S Chatzivasileiadis, D Molzahn
Electric Power Systems Research 213, 108282, 2022
312022
A passivity interpretation of energy-based forced oscillation source location methods
S Chevalier, P Vorobev, K Turitsyn
IEEE Transactions on Power Systems 35 (5), 3588-3602, 2020
262020
Mitigating the risk of voltage collapse using statistical measures from PMU data
SC Chevalier, PDH Hines
IEEE Transactions on Power Systems 34 (1), 120-128, 2018
252018
Learning without data: Physics-informed neural networks for fast time-domain simulation
J Stiasny, S Chevalier, S Chatzivasileiadis
2021 IEEE International Conference on Communications, Control, and Computing …, 2021
182021
Closing the loop: A framework for trustworthy machine learning in power systems
J Stiasny, S Chevalier, R Nellikkath, B Sævarsson, S Chatzivasileiadis
arXiv preprint arXiv:2203.07505, 2022
142022
Modulated oscillations of synchronous machine nonlinear dynamics with saturation
D Wu, P Vorobev, SC Chevalier, K Turitsyn
IEEE Transactions on Power Systems 35 (4), 2915-2925, 2019
122019
Accelerated probabilistic power flow in electrical distribution networks via model order reduction and Neumann series expansion
S Chevalier, L Schenato, L Daniel
IEEE Transactions on Power Systems 37 (3), 2151-2163, 2021
112021
Dynamic linepack depletion models for natural gas pipeline networks
S Chevalier, D Wu
Applied Mathematical Modelling 94, 169-186, 2021
92021
Handling initial conditions in vector fitting for real time modeling of power system dynamics
T Bradde, S Chevalier, M De Stefano, S Grivet-Talocia, L Daniel
Energies 14 (9), 2471, 2021
92021
Decentralized stability rules for microgrids
P Vorobev, S Chevalier, K Turitsyn
2019 American Control Conference (ACC), 2596-2601, 2019
82019
A bayesian framework for power system components identification
A Mikhalev, A Emchinov, S Chevalier, Y Maximov, P Vorobev
2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020
62020
Global performance guarantees for neural network models of ac power flow
S Chevalier, S Chatzivasileiadis
arXiv preprint arXiv:2211.07125, 2022
52022
Optimization-based exploration of the feasible power flow space for rapid data collection
IV Nadal, S Chevalier
2022 IEEE International Conference on Communications, Control, and Computing …, 2022
52022
Uncertainty quantification in LV state estimation under high shares of flexible resources
N Müller, S Chevalier, C Heinrich, K Heussen, C Ziras
Electric Power Systems Research 212, 108479, 2022
42022
Network topology invariant stability certificates for DC microgrids with arbitrary load dynamics
S Chevalier, FM Ibanez, K Cavanagh, K Turitsyn, L Daniel, P Vorobev
IEEE Transactions on Power Systems 37 (3), 1782-1797, 2021
42021
Using real time statistical data to improve long term voltage stability in stochastic power systems
SC Chevalier
The University of Vermont and State Agricultural College, 2016
42016
GPU-Accelerated Verification of Machine Learning Models for Power Systems
S Chevalier, I Murzakhanov, S Chatzivasileiadis
32024
Scalable bilevel optimization for generating maximally representative OPF datasets
IV Nadal, S Chevalier
2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 1-6, 2023
32023
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