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Mevludin Glavic
Mevludin Glavic
University of Liege, Department of Electrical Engineering and Computer Science
Bestätigte E-Mail-Adresse bei montefiore.ulg.ac.be - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Wide-area detection of voltage instability from synchronized phasor measurements. Part I: Principle
M Glavic, T Van Cutsem
IEEE Transactions on Power Systems 24 (3), 1408-1416, 2009
3022009
Power systems stability control: reinforcement learning framework
D Ernst, M Glavic, L Wehenkel
IEEE Transactions on Power Systems 19 (1), 427-435, 2004
2672004
Reinforcement learning versus model predictive control: a comparison on a power system problem
D Ernst, M Glavic, F Capitanescu, L Wehenkel
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009
2362009
Contingency filtering techniques for preventive security-constrained optimal power flow
F Capitanescu, M Glavic, D Ernst, L Wehenkel
IEEE Transactions on Power Systems 22 (4), 1690-1697, 2007
2342007
Interior-point based algorithms for the solution of optimal power flow problems
F Capitanescu, M Glavic, D Ernst, L Wehenkel
Electric Power Systems Research 77 (5-6), 508-517, 2007
2262007
Reinforcement learning for electric power system decision and control: Past considerations and perspectives
M Glavic, R Fonteneau, D Ernst
IFAC-PapersOnLine 50 (1), 6918-6927, 2017
2002017
Electric power transfer capability: concepts, applications, sensitivity and uncertainty
I Dobson, S Greene, R Rajaraman, CL DeMarco, FL Alvarado, M Glavic, ...
PSERC Publication, 2001
185*2001
A short survey of methods for voltage instability detection
M Glavic, T Van Cutsem
2011 IEEE Power and Energy Society General Meeting, 1-8, 2011
1532011
Wide-Area Detection of Voltage Instability From Synchronized Phasor Measurements. Part II: Simulation Results
M Glavic, T Van Cutsem
Power Systems, IEEE Transactions on 24 (3), 1417-1425, 2009
1522009
See it fast to keep calm: Real-time voltage control under stressed conditions
M Glavic, D Novosel, E Heredia, D Kosterev, A Salazar, F Habibi-Ashrafi, ...
IEEE Power and Energy Magazine 10 (4), 43-55, 2012
1132012
Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities
A Del Angel, P Geurts, D Ernst, M Glavic, L Wehenkel
Neurocomputing 70 (16-18), 2668-2678, 2007
922007
Model predictive control to alleviate thermal overloads
B Otomega, A Marinakis, M Glavic, T Van Cutsem
IEEE Transactions on Power Systems 22 (4), 2283-2284, 2007
842007
(Deep) Reinforcement learning for electric power system control and related problems: A short review and perspectives
M Glavic
Annual Reviews in Control 48, 22-35, 2019
812019
Dynamic State Estimation for Power System Control and Protection
Y Liu, AK Singh, J Zhao, APS Meliopoulos, BC Pal, MABM Ariff, ...
IEEE Transactions on Power Systems 36 (6), 5909-5921, 2021
752021
Test Systems for Voltage Stability Studies
T Van Cutsem, M Glavic, W Rosehart, C Canizares, M Kanatas, L Lima, ...
IEEE Transactions on Power Systems 35 (5), 4078-4087, 2020
752020
Test Systems for Voltage Stability Analysis and Security Assessment
T Van Cutsem, M Glavic, W Rosehart, J Andrade dos Santos, C Canizares, ...
IEEE PES Technical Report PES-TR19, 2015
72*2015
Receding-horizon multi-step optimization to correct nonviable or unstable transmission voltages
M Glavic, M Hajian, W Rosehart, T Van Cutsem
IEEE Transactions on Power Systems 26 (3), 1641-1650, 2011
682011
The cross-entropy method for power system combinatorial optimization problems
D Ernst, M Glavic, GB Stan, S Mannor, L Wehenkel
2007 IEEE Lausanne Power Tech, 1290-1295, 2007
652007
Reconstructing and tracking network state from a limited number of synchrophasor measurements
M Glavic, T Van Cutsem
IEEE Transactions on Power Systems 28 (2), 1921-1929, 2013
632013
Approximate Value Iteration in the Reinforcement Learning Context. Application to Electrical Power System Control.
D Ernst, M Glavic, P Geurts, L Wehenkel
International Journal of Emerging Electric Power Systems 3 (1), 2005
632005
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