no code implementations • 22 Apr 2024 • Yilin Wen, Yi Guo, Zechun Hu, Gabriela Hug
We then propose a flexibility cost formulation aligned with the aggregated flexibility model and design a DSO flexibility market model to activate the aggregated flexibility in the distribution system to participate in the transmission system operation for energy arbitrage and ancillary services provision.
no code implementations • 16 Oct 2023 • Simon Muntwiler, Ognjen Stanojev, Andrea Zanelli, Gabriela Hug, Melanie N. Zeilinger
The fast modes are then truncated in the rotated coordinate system to obtain a lower-order model with reduced stiffness.
no code implementations • 30 Sep 2023 • Matthias Franke, Ognjen Stanojev, Lesia Mitridati, Gabriela Hug
Amidst the worldwide efforts to decarbonize power networks, Local Electricity Markets (LEMs) in distribution networks are gaining importance due to the increased adoption of renewable energy sources and prosumers.
no code implementations • 2 Aug 2023 • Georgia Pierrou, Gabriela Hug
In this paper, an electric railway Energy Management System (EMS) with integration of an Energy Storage System (ESS), Regenerative Braking Energy (RBE), and renewable generation is proposed to minimize the daily operating costs of the railway station while meeting railway and Electric Vehicle (EV) charging demand.
no code implementations • 11 Jul 2023 • Ognjen Stanojev, Lesia Mitridati, Riccardo de Nardis di Prata, Gabriela Hug
This paper presents a novel safe reinforcement learning algorithm for strategic bidding of Virtual Power Plants (VPPs) in day-ahead electricity markets.
no code implementations • 17 May 2023 • Milos Katanic, John Lygeros, Gabriela Hug
Power systems are highly-complex, large-scale engineering systems subject to many uncertainties, which makes accurate mathematical modeling challenging.
no code implementations • 4 Apr 2023 • Ognjen Stanojev, Lucien Werner, Steven Low, Gabriela Hug
In the first method, we use the eigendecomposition of the admittance matrix to generalize the notion of stationarity to electrical signals and demonstrate how the stationarity property can be used to facilitate a maximum a posteriori estimation procedure.
no code implementations • 14 Mar 2023 • Eleni Stai, Lesia Mitridati, Ioannis Stavrakakis, Evangelia Kokolaki, Petros Tatoulis, Gabriela Hug
In the peak hours, a proportional allocation (PA) policy is used to allocate the limited RESs among the competitors.
no code implementations • 8 Mar 2023 • Georgia Pierrou, Yannick Zwirner, Gabriela Hug
This paper proposes a novel optimal Energy Management System (EMS) algorithm for Electric Vehicle (EV) charging in smart electric railway stations with renewable generation.
no code implementations • 25 Jul 2022 • Milos Katanic, John Lygeros, Gabriela Hug
Power network and generators state estimation are usually tackled as separate problems.
no code implementations • 8 Jul 2022 • Michael W. Fisher, Gabriela Hug, Florian Dörfler
The goal of this two-part article is to introduce a new Galerkin-type method based on approximation by transfer functions with a selection of simple poles, and to apply this simple pole approximation for optimal control design.
no code implementations • 8 Jul 2022 • Johanna Vorwerk, Thierry Zufferey, Petros Aristidou, Gabriela Hug
This paper presents a new approach based on quantile forecasting to represent the uncertainty originating in DNs at the TN level.
no code implementations • 18 May 2022 • Alice Patig, Ognjen Stanojev, Petros Aristidou, Aristides Kiprakis, Gabriela Hug
The gradual decommissioning of fossil fuel-driven power plants, that traditionally provide most operational flexibility in power systems, has led to more frequent grid stability issues.
no code implementations • 6 Apr 2022 • Ognjen Stanojev, Yi Guo, Gabriela Hug
This paper presents a novel framework for collective control of Distributed Energy Resources (DERs) in active Distribution Networks (DNs).
no code implementations • 31 Mar 2022 • Michael W. Fisher, Gabriela Hug, Florian Dörfler
In Part II, this approximation is applied to system level synthesis, a recent approach based on a clever reparameterization, to develop a new technique for optimal control design.
no code implementations • 28 Feb 2022 • Mengshuo Jia, Gabriela Hug, Yifan Su, Chen Shen
Given the increased percentage of wind power in power systems, chance-constrained optimal power flow (CC-OPF) calculation, as a means to take wind power uncertainty into account with a guaranteed security level, is being promoted.
no code implementations • 28 Feb 2022 • Mengshuo Jia, Qianni Cao, Chen Shen, Gabriela Hug
This method is based on a high-precision linear power flow model, whose precision is even further improved in this paper by an original correction approach.
no code implementations • 18 Feb 2022 • Ognjen Stanojev, Yi Guo, Petros Aristidou, Gabriela Hug
The electric power system is currently experiencing radical changes stemming from the increasing share of renewable energy resources and the consequent decommissioning of conventional power plants based on synchronous generators.
no code implementations • 25 Jan 2022 • Eleni Stai, Evangelia Kokolaki, Lesia Mitridati, Petros Tatoulis, Ioannis Stavrakakis, Gabriela Hug
This work studies the decentralized and uncoordinated energy source selection problem for smart-grid consumers with heterogeneous energy profiles and risk attitudes: they compete for a limited amount of renewable energy in their local community, at the risk of paying a higher cost if that energy is not enough to supply all such demand.
no code implementations • 25 Jan 2022 • Lesia Mitridati, Emma Romei, Gabriela Hug, Ferdinando Fioretto
Sector coordination between heat and electricity systems has been identified has an energy-efficient and cost-effective way to transition towards a more sustainable energy system.
no code implementations • 25 Oct 2021 • Nami Hekmat, Hanmin Cai, Thierry Zufferey, Gabriela Hug, Philipp Heer
Real-time quantification of residential building energy flexibility is needed to enable a cost-efficient operation of active distribution grids.
no code implementations • 11 Oct 2021 • Ognjen Stanojev, Uros Markovic, Petros Aristidou, Gabriela Hug
This paper presents a novel strategy for the synchronization of grid-following Voltage Source Converters (VSCs) in power systems with low rotational inertia.
no code implementations • 5 Jul 2021 • Jialun Zhang, Yi Wang, Gabriela Hug
Accurate load prediction is an effective way to reduce power system operation costs.
no code implementations • 7 Apr 2021 • Thierry Zufferey, Gustavo Valverde, Gabriela Hug
In the residential sector, electric water heaters are appliances with a relatively high power consumption and a significant thermal inertia, which is particularly suitable for Demand Response schemes.
no code implementations • 30 Mar 2021 • Xuejiao Han, Jared Garrison, Gabriela Hug
Results show that while combining PV with batteries already results in better net present values than PV alone for some customer groups today, the payback periods fluctuate between 2020 and 2035 due to the mixed effects of policy changes, costs and electricity price developments.
no code implementations • 23 Mar 2021 • Conor O' Malley, Gabriela Hug, Line Roald
We demonstrate that coordinated uncertainty management that accounts for the gas system can significantly reduce both electric and gas system load shed in stressed conditions.
no code implementations • 5 Jan 2021 • Elena Raycheva, Jared Garrison, Christian Schaffner, Gabriela Hug
This paper presents a static generation expansion planning formulation in which operational and investment decisions for a wide range of technologies are co-optimized from a centralized perspective.
Optimization and Control
no code implementations • 18 Jun 2018 • Adrian Hauswirth, Saverio Bolognani, Gabriela Hug, Florian Dörfler
Even if the KKT conditions are applicable, the multipliers may not be unique.
Optimization and Control
1 code implementation • 6 Jun 2017 • Nicolas Pilatte, Petros Aristidou, Gabriela Hug
In this paper, an open-source MATLAB toolbox is presented that is able to generate synthetic, combined transmission and distribution network models.
Systems and Control