| Foundations and Challenges of Low-Inertia Systems F Milano, F Dörfler, G Hug, DJ Hill, G Verbič 2018 Power Systems Computation Conference (PSCC), 1-25, 2018 | 553 | 2018 |
| Vulnerability assessment of AC state estimation with respect to false data injection cyber-attacks G Hug, JA Giampapa IEEE Transactions on Smart Grid 3 (3), 1362-1370, 2012 | 486 | 2012 |
| Distributed robust economic dispatch in power systems: A consensus+ innovations approach S Kar, G Hug Power and Energy Society General Meeting, 2012 IEEE, 1-8, 2012 | 284 | 2012 |
| Consensus+ Innovations Approach for Distributed Multi-Agent Coordination in a Microgrid G Hug, S Kar | 282* | |
| Cooperative control of distributed energy storage systems in a microgrid Y Xu, W Zhang, G Hug, S Kar, Z Li IEEE Transactions on Smart Grid 6 (1), 238-248, 2015 | 250 | 2015 |
| Using FACTS devices to resolve congestions in transmission grids G Glanzmann, G Andersson International Symposium CIGRE/IEEE PES, 2005., 347-354, 2005 | 222 | 2005 |
| Distributed State Estimation and Energy Management in Smart Grids: A ConsensusInnovations Approach S Kar, G Hug, J Mohammadi, JMF Moura IEEE Journal of Selected Topics in Signal Processing 8 (6), 1022-1038, 2014 | 220 | 2014 |
| Decentralized optimal power flow control for overlapping areas in power systems G Hug-Glanzmann, G Andersson IEEE Transactions on Power Systems 24 (1), 327-336, 2009 | 208 | 2009 |
| Toward distributed/decentralized DC optimal power flow implementation in future electric power systems A Kargarian, J Mohammadi, J Guo, S Chakrabarti, M Barati, G Hug, S Kar, ... IEEE Transactions on Smart Grid 9 (4), 2574-2594, 2018 | 206 | 2018 |
| Energy Storage Sizing Taking Into Account Forecast Uncertainties and Receding Horizon Operation K Baker, G Hug, X Li IEEE Transactions on Sustainable Energy 8 (1), 331-340, 2017 | 157 | 2017 |
| Ieee vision for smart grid controls: 2030 and beyond M Amin, A Anaswamy, G Arnold, D Callaway, M Caramanis, ... New York NY: IEEE Standards Association, 2013 | 121* | 2013 |
| Estimating the benefits of electric vehicle smart charging at non-residential locations: A data-driven approach EC Kara, JS Macdonald, D Black, M Bérges, G Hug, S Kiliccote Applied Energy 155, 515-525, 2015 | 118 | 2015 |
| Intelligent partitioning in distributed optimization of electric power systems J Guo, G Hug, OK Tonguz IEEE Transactions on Smart Grid 7 (3), 1249-1258, 2016 | 104 | 2016 |
| Convex relaxations of chance constrained ac optimal power flow A Venzke, L Halilbasic, U Markovic, G Hug, S Chatzivasileiadis IEEE Transactions on Power Systems 33 (3), 2829-2841, 2018 | 97 | 2018 |
| A Case for Nonconvex Distributed Optimization in Large-Scale Power Systems J Guo, G Hug, OK Tonguz IEEE Transactions on Power Systems 32 (5), 3842-3851, 2017 | 90 | 2017 |
| LQR-Based Adaptive Virtual Synchronous Machine for Power Systems with High Inverter Penetration U Markovic, Z Chu, P Aristidou, G Hug-Glanzmann IEEE Transactions on Sustainable Energy, 2018 | 88 | 2018 |
| Demand response of ancillary service from industrial loads coordinated with energy storage X Zhang, G Hug, JZ Kolter, I Harjunkoski IEEE Transactions on Power Systems 33 (1), 951-961, 2018 | 88 | 2018 |
| Decomposed stochastic model predictive control for optimal dispatch of storage and generation D Zhu, G Hug IEEE Transactions on Smart Grid 5 (4), 2044-2053, 2014 | 80 | 2014 |
| Distributed MPC for Efficient Coordination of Storage and Renewable Energy Sources Across Control Areas K Baker, J Guo, G Hug, X Li IEEE Transactions on Smart Grid 7 (2), 992-1001, 2016 | 76 | 2016 |
| Projected Gradient Descent on Riemannian Manifolds with Applications to Online Power System Optimization S Menta, A Hauswirth, S Bolognani, G Hug, F Dörfler Allerton Conference on Communication, Control, and Computing, 8, 2018 | 74* | 2018 |
