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Gabriela Hug

Prof. Dr.
Gabriela Hug
Co-Director
PI
Executive Committee Member
ETH Zurich
ghug@ethz.ch
Curriculum Vitae
Automation and interdisciplinary collaboration are key ingredients to make the vision of sustainable and resilient electric power systems a reality.

Gabriela Hug is Professor at the Power Systems Laboratory of ETH Zürich. She obtained her MSc and PhD degrees from ETH Zürich in 2004 and 2008, respectively. After her studies, she worked as an Assistant Asset Management Engineer for Hydro One in Toronto. In 2009, she became an Assistant Professor in the ECE Department of Carnegie Mellon University and joined ETH Zürich in 2015. Her work focuses on developing methods for the efficient operation and planning of future electric power systems.

Scientific Publications

Published
Overview of Data-Driven Power Flow Linearization
IEEE PowerTech 2023
Mengshuo Jia, Gabriela Hug
Doi.org Collection
Published
"Safe Reinforcement Learning for Strategic Bidding of Virtual Power Plants in Day-Ahead Markets"
SmartGridComm 2023
Ognjen Stanojev, Lesia Mitridati, Riccardo de Nardis di Prata, Gabriela Hug
Collection Arxiv.org
Published
Employing Imbalance Forecasts to Proactively Counteract Deterministic Frequency Deviations
2023 IEEE Belgrade PowerTech
Julie Rousseau, Johanna Vorwerk, Christian Welti, Iason Avramiotis, Gabriela Hug
Collection
Published
Tractable Identification of Electric Distribution Networks
62nd IEEE Conference on Decision and Control
Ognjen Stanojev, Lucien Werner, Steven Low, Gabriela Hug
Collection Arxiv.org
Published
Uncertainty-Aware Energy Flexibility Quantification of a Residential Building
2023 ISGT Europe
Pages 1-6
Julie Rousseau, Hanmin Cai, Philipp Heer, Kristina Orehounig, Gabriela Hug
Collection
Published
Moving-Horizon State Estimation for Power Networks and Synchronous Generators
arxiv
Milos Katanic, John Lygeros, Gabriela Hug
Doi.org Collection
Published
Game-Theoretic Energy Source Allocation Mechanism in Smart-Grids
2022 IEEE 7th International Energy Conference (ENERGYCON)
Pages 1-6
Eleni Stai, Evangelia Kokolaki, Lesia Mitridati, Petros Tatoulis, Ioannis Stavrakakis, Gabriela Hug
Doi.org Collection
Published
Differentially-Private Heat and Electricity Markets Coordination
2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Pages 1-6
Lesia Mitridati, Emma Romei, Gabriela Hug, Ferdinando Fioretto
Doi.org Collection
Published
Improving Stability of Low-Inertia Systems using Virtual Induction Machine Synchronization for Grid-Following Converters
IEEE Transactions on Power Systems
Pages 1-14
Ognjen Stanojev, Uros Markovic, Petros Aristidou, Gabriela Hug
Doi.org Collection
Fast Mapping of Flexibility Regions at TSO-DSO Interfaces under Uncertainty
arxiv
Alice Patig, Ognjen Stanojev, Petros Aristidou, Aristides Kiprakis, Gabriela Hug
Doi.org Collection
Online Feedback Droop Scheduling in Distribution Grids for Frequency and Local Voltage Control
arxiv
Ognjen Stanojev, Yi Guo, Gabriela Hug
Doi.org Collection
Published
Multiple Ancillary Services Provision by Distributed Energy Resources in Active Distribution Networks
arXiv
Ognjen Stanojev, Yi Guo, Petros Aristidou, Gabriela Hug
Doi.org Collection
Primary Frequency Control Provision by Distributed Energy Resources in Active Distribution Networks
IEEE PowerTech
Ognjen Stanojev, Justin Rössli-Kueh, Uros Markovic, Petros Aristidou, Gabriela Hug
Collection

Research projects

Title
Principal Investigators

Probabilistic prosumer side flexibilities for multi use-case applications

Gabriela Hug, Kristina Orehounig, Philipp Heer

Summary

The electric energy demand of buildings is increasing due to the electrification of the transportation and heating systems. While this puts an additional strain on the power grid, EVs and heat pumps (among others) are flexible loads that can be leveraged to keep the balance between generation and load. Coincidently, smart meters and edge computing resources (i.e. building automation systems) are deployed providing the means to access this flexibility. Hence, in this project, we will leverage building data to develop detailed models for the quantification and usage of flexibility at the building level for different time scales.

People involved

Philipp Heer
Gabriela Hug, Kristina Orehounig, Philipp Heer
Probabilistic prosumer side flexibilities for multi use-case applications
Gabriela Hug, Kristina Orehounig, Philipp Heer

The electric energy demand of buildings is increasing due to the electrification of the transportation and heating systems. While this puts an additional strain on the power grid, EVs and heat pumps (among others) are flexible loads that can be leveraged to keep the balance between generation and load. Coincidently, smart meters and edge computing resources (i.e. building automation systems) are deployed providing the means to access this flexibility. Hence, in this project, we will leverage building data to develop detailed models for the quantification and usage of flexibility at the building level for different time scales.

Philipp Heer
Gabriela Hug, Kristina Orehounig, Philipp Heer
190
c0bfb8d4-028d-43f0-ac62-762f1c3631a8

Design and Pricing of Ancillary Services in Stochastic Energy Systems

Gabriela Hug

Summary

The provision of ancillary services is an important aspect to ensure the stability and the functioning of the electric power system, even more so in a system with increasing levels of renewable generation. However, the type of ancillary services and how they are being compensated likely needs to be adjusted from the current practice, which was designed for highly centralized energy production and inflexible demand. In this project, we will identify the type of services needed, how the capabilities of the individual resources can optimally be used and how they should be remunerated for their services.

People involved

Lesia Mitridati
Gabriela Hug, Lesia Mitridati
Design and Pricing of Ancillary Services in Stochastic Energy Systems
Gabriela Hug

The provision of ancillary services is an important aspect to ensure the stability and the functioning of the electric power system, even more so in a system with increasing levels of renewable generation. However, the type of ancillary services and how they are being compensated likely needs to be adjusted from the current practice, which was designed for highly centralized energy production and inflexible demand. In this project, we will identify the type of services needed, how the capabilities of the individual resources can optimally be used and how they should be remunerated for their services.

Lesia Mitridati
Gabriela Hug, Lesia Mitridati
152
1a339b22-e90a-4ad7-b710-9346026afd7b

Ancillary Services Provision in Power Systems with High Shares of Renewable Energy Sources

Gabriela Hug

Summary

With the replacement of synchronous machine based generation by power electronics connected renewable generators, the speed of frequency dynamics increases and new voltage issues arise in distribution systems due to decreased system inertia and the distributed nature of these resources. In this project, we focus on the provision of ancillary services by distributed energy resources (DER) at different time scales. This entails Fast Frequency Control provided by grid-forming Voltage Source Converters and at the slower time scale, the integration of active distribution grids in a set of ancillary services.

People involved

Ognjen Stanojev
Gabriela Hug, Ognjen Stanojev
Ancillary Services Provision in Power Systems with High Shares of Renewable Energy Sources
Gabriela Hug

With the replacement of synchronous machine based generation by power electronics connected renewable generators, the speed of frequency dynamics increases and new voltage issues arise in distribution systems due to decreased system inertia and the distributed nature of these resources. In this project, we focus on the provision of ancillary services by distributed energy resources (DER) at different time scales. This entails Fast Frequency Control provided by grid-forming Voltage Source Converters and at the slower time scale, the integration of active distribution grids in a set of ancillary services.

Ognjen Stanojev
Gabriela Hug, Ognjen Stanojev
142
5290a8ae-0fb8-4239-b22b-dc66eec908f8

Scalable market mechanisms for deploying massive amounts of distributed energy resources

Daniel Kuhn, Gabriela Hug

Summary

We study how flexible devices, consumers and producers can participate in an automated fashion in an energy market that yields efficient market outcomes. As the availability of distributed resources in terms of production and flexibility is uncertain, probabilistic approaches for the automated bidding but also for the determination of the required reserves are necessary. Given that distributions of the willingness of the participants to accept prices are unknown, we intend to formulate and explore distributionally robust optimization models.

People involved

Daniel Kuhn
Daniel Kuhn, Gabriela Hug
Scalable market mechanisms for deploying massive amounts of distributed energy resources
Daniel Kuhn, Gabriela Hug

We study how flexible devices, consumers and producers can participate in an automated fashion in an energy market that yields efficient market outcomes. As the availability of distributed resources in terms of production and flexibility is uncertain, probabilistic approaches for the automated bidding but also for the determination of the required reserves are necessary. Given that distributions of the willingness of the participants to accept prices are unknown, we intend to formulate and explore distributionally robust optimization models.

Daniel Kuhn
Daniel Kuhn, Gabriela Hug
130
c3a694bf-c218-4f8d-815d-02b060f2519d

Intrusion detection and dynamic state estimation for power networks

Gabriela Hug, John Lygeros

Summary

State Estimation is an important tool in the Energy Management systems of electric power systems to monitor the state of the system. It takes measurements from the field and usually by the means of weighted least square optimization identifies the most likely system state. This step is necessary as measurements are subject to measurement errors. Traditionally, the resulting problem formulation includes the non-linear power flow equations. However, in previous work, we have derived a formulation that allows for a linear representation exhibiting the same accuracy but clearly superior computational performance to the non-linear approaches. In this project, we propose to explore how such linear formulation provides computationally efficient means to identify and filter false data injection (FDI) attacks. Protecting the power system against FDI attacks is of critical importance as many control functionalities rely on the reported state of the system.

People involved

NCCR – People
Gabriela Hug, John Lygeros, Milos Katanic
Intrusion detection and dynamic state estimation for power networks
Gabriela Hug, John Lygeros

State Estimation is an important tool in the Energy Management systems of electric power systems to monitor the state of the system. It takes measurements from the field and usually by the means of weighted least square optimization identifies the most likely system state. This step is necessary as measurements are subject to measurement errors. Traditionally, the resulting problem formulation includes the non-linear power flow equations. However, in previous work, we have derived a formulation that allows for a linear representation exhibiting the same accuracy but clearly superior computational performance to the non-linear approaches. In this project, we propose to explore how such linear formulation provides computationally efficient means to identify and filter false data injection (FDI) attacks. Protecting the power system against FDI attacks is of critical importance as many control functionalities rely on the reported state of the system.

NCCR – People
Gabriela Hug, John Lygeros, Milos Katanic
115
656ed7a3-75ba-452e-b0d1-025e9df8b24e