一本道无码

一本道无码
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Gabriela Hug

Gabriela Hug

Collaborating Professor, Electrical and Computer Engineering, Engineering and Public Policy
Associate Professor, Department of Information Technology and Electrical Engineering, ETH Zurich

Address
Department of Electrical and Computer Engineering
一本道无码
5000 Forbes Avenue
Pittsburgh, PA 15213

Bio

  • Carnegie Mellon 2009-
Dr. Hug is the Co-Director of the Electric Energy Systems Group (EESG) at 一本道无码, the leader of the thrust area on Transmission & Distribution Management in the SRC Smart Grid Research Center and a member of the Carnegie Mellon Electricity Industry Center (CEIC).

Education

  • Ph.D. in Electrical and Computer Engineering, ETH Zurich, Switzerland, 2008
  • Diploma in Higher Education Teaching, ETH Zurich, Switzerland, 2007
  • M.Sc. in Electric and Computer Engineering, ETH Zurich, Switzerland, 2004

Research

Dr. Hug’s research focuses on control and optimized operation of the electric power system to enable a renewable energy future. She develops control schemes based on predictive control to overcome the variability and intermittency of renewable generation, investigates the usage of power flow control devices to increase the transfer capacity of the existing transmission system and explores how to optimally integrate and use storage devices in the power system.

Publications

  1. G. Hug-Glanzmann, “Model Predictive Control for the Coordination of Wind and Hydro Power,” PES General Meeting, Detroit, USA, 2011.
  2. R. Kankanamalage, G. Hug-Glanzmann, “Transmission Capacity Enhancement by Optimal Usage of Storage Devices,” PES General Meeting, Detroit, USA, 2011.
  3. D. Zhu, G. Hug-Glanzmann, “Real-Time Control of Energy Storage Devices in Future Electric Power Systems,” PowerTech Conference, Trondheim, Norway, 2011.
  4. G. Hug-Glanzmann, “A Hybrid Approach to Balance the Variability and Intermittency of Renewable Generation,” PowerTech Conference, Trondheim, Norway, 2011.
  5. L. Wehinger, G. Hug-Glanzmann, M. Galus, G. Andersson, “Assessing the Effect of Storage Devices and a PHEV Cluster on German Spot Prices by Using Model Predictive and Profit Maximizing Agents,” Power Systems Computation Conference, Stockholm, Sweden, 2011.
  6. R.R. Negenborn, G. Hug-Glanzmann, B. De Schutter, G. Andersson, “A Novel Coordination Strategy for Multi-Agent Control Using Overlapping Subnetworks with Application to Power Systems” in Javad Mohammadpur, Karolos M. Grigoriadis, “Efficient Modeling and Control of Large-Scale Systems,” Springer, 2010.
  7. D. Zhu, R. Yang, G. Hug-Glanzmann, “Managing Microgrids with Intermittent Resources: A Two-Layer Multi-Step Optimal Control Approach,” North American Power Symposium, Arlington, Texas, USA, 2010.
  8. G. Hug-Glanzmann, “Coordination of Intermittent Generation with Storage, Demand Control and Backup Generation,” iREP Symposium - Bulk Power Systems Dynamics and Control, Armação de Búzios, Brazil, 2010.
  9. G. Hug-Glanzmann, G. Andersson, “N-1 Security in Optimal Power Flow Control Applied to Limited Areas”, IET Generation, Transmission and Distribution, Vol. 3, Iss. 2, pp. 206 - 215, 2009.
  10. G. Hug-Glanzmann , G. Andersson, “Decentralized Optimal Power Flow Control for Overlapping Areas in Power Systems”, IEEE Transactions on Power Systems, Vol. 24, No.1, February 2009, pp 327 - 336, 2009.

Research Interests

Control and optimized operation of the electric power system to enable a renewable energy future