Gabriela Hug

Gabriela Hug-Glanzmann (born 1979) is a Swiss electrical engineer and a professor and Principal Investigator of the Power Systems Laboratory at the Swiss Federal Institute of Technology (ETH) Zürich within the Department of Information Technology and Electrical Engineering. Hug studies the control and optimization of electrical power systems with a focus on sustainable energy.

Early life and education In 1999, Hug pursued her graduate studies in Electrical and Computer Engineering at the Swiss Federal Institute of Technology (ETH) in Zürich. She first obtained her Master's in 2004 and then went on to complete her Ph.D. in 2008. During her Master's, Hug worked under the mentorship of Manfred Morari where she conducted research on flexible AC transmission system devices (FACTS) which enable enhanced opportunities to control and optimize power usage in existing and new power lines. Her thesis explored a new way of controlling water level in river power plants. She based her method on Model Predictive Control in order to minimize variations and fluctuations that lead to wasted energy and environmental harm. This simulation with a restricted area allows determination of the state of an energy system in the case of a black out without having to compete a full-load flow simulation of the entire area. In 2009, Hug joined the faculty at Carnegie Mellon University in Pittsburgh, Pennsylvania as an assistant professor of Electrical and Computer Engineering as well as Affiliated Engineering Professor in Engineering and Public Policy. Distributed energy generation and storage capacity will enable integration of renewable energy sources and lead to more sustainable, efficient, and flexible energy systems. She works on exploring ways to address the variability and intermittency of renewable energy generation such that one day we can use various sources of sustainable energy to reliably power the grid. Since coordinating the large number of distributed nodes will be quite challenging, Hug has proposed a distributed energy management approach which uses intelligence to balance supply and demand. These energy storage systems need to be able to charge and discharge at the right times to be effective, so Hug tested the implementation of a distributed cooperative control strategy to manage the energy storage systems. She uses algorithms to model an attacker's most likely points of attack and this provides guidance on where the most security and protection is needed in the grid. 2015 Eta Kappa Nu Excellence in Teaching Award 2014 Raymond John Wean Foundation Career Development Professorship at Carnegie Mellon University 2013 US National Science Foundation Career Award 2008 ABB Research Award in honor of Hubertus von Gruenberg for her PhD Thesis 2005 EtherCAT Technology Group Innovation Award For her Master's Thesis 2004 ETH Zürich Medal

Select publications

Active Distribution Grids Offering Ancillary Services in Islanded and Grid-Connected Mode. Stavros Karagiannopoulos, Jannick Gallmann, Marina González Vayá, Petros Aristidou and Gabriela Hug. IEEE Transactions on Smart Grid, vol. 11: no. 1, pp. 623–633, New York, NY: IEEE, 2020. DOI: 10.1109/TSG.2019.2927299 Natural gas system dispatch accounting for electricity side flexibility. Conor O'Malley, Stefanos Delikaraoglou, Line Roald and Gabriela Hug. Electric power systems research, vol. 178, pp. 106038, Amsterdam: Elsevier, 2020. DOI: 10.1016/j.epsr.2019.106038 Data-Driven Local Control Design for Active Distribution Grids Using Off-Line Optimal Power Flow and Machine Learning Techniques. Stavros Karagiannopoulos, Petros Aristidou and Gabriela Hug. IEEE Transactions on Smart Grid, vol. 10: no. 6, pp. 6461–6471, New York, NY: IEEE, 2019. DOI: 10.1109/TSG.2019.2905348 TDNetGen: An Open-Source, Parametrizable, Large-Scale, Transmission, and Distribution Test System. Nicolas Pilatte, Petros Aristidou and Gabriela Hug IEEE Systems Journal, vol. 13: no. 1, pp. 729–737, New York, NY: IEEE, 2019. DOI: 10.1109/JSYST.2017.2772914 Demand Response of Ancillary Service From Industrial Loads Coordinated With Energy Storage. Xiao Zhang, Gabriela Hug, J. Zico Kolter and Iiro Harjunkoski. IEEE Transactions on Power Systems, vol. 33: no. 1, pp. 951–961, New York, NY: IEEE, 2018. DOI: 10.1109/TPWRS.2017.2704524 Integration of Optimal Storage Operation into Marginal Cost Curve Representation. Gabriela Hug. Energy Systems, vol. 7: no. 3, pp. 391–409, Berlin: Springer, 2016.DOI: 10.1007/s12667-015-0163-7 Using Cascaded Hydropower Like a Battery to Firm Variable Wind Generation. Andrew Hamann and Gabriela Hug. IEEE PES General Meeting, Boston, USA Piscataway, NJ: IEEE, July 17–21, 2016.DOI: 10.1109/PESGM.2016.7741913 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. 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.