Search Results for author: Gabriela Hug

Found 29 papers, 1 papers with code

Flexibility Pricing in Distribution Systems: A Direct Method Aligned with Flexibility Models

no code implementations22 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.

A Stiffness-Oriented Model Order Reduction Method for Low-Inertia Power Systems

no code implementations16 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.

Privacy-Preserving Distributed Market Mechanism for Active Distribution Networks

no code implementations30 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.

Distributed Optimization Privacy Preserving

Integrating Optimal EV Charging in the Energy Management of Electric Railway Stations

no code implementations2 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.

energy management Management

Safe Reinforcement Learning for Strategic Bidding of Virtual Power Plants in Day-Ahead Markets

no code implementations11 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.

Safe Reinforcement Learning

Recursive Dynamic State Estimation for Power Systems with an Incomplete Nonlinear DAE Model

no code implementations17 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.

Tractable Identification of Electric Distribution Networks

no code implementations4 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.

Computational Efficiency

Fair Energy Allocation in Risk-aware Energy Communities

no code implementations14 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.

An Optimal Energy Management Algorithm Considering Regenerative Braking and Renewable Energy for EV Charging in Railway Stations

no code implementations8 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.

energy management Management

Moving-Horizon State Estimation for Power Networks and Synchronous Generators

no code implementations25 Jul 2022 Milos Katanic, John Lygeros, Gabriela Hug

Power network and generators state estimation are usually tackled as separate problems.

Approximation by Simple Poles -- Part I: Density and Geometric Convergence Rate in Hardy Space

no code implementations8 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.

Using Quantile Forecasts for Dynamic Equivalents of Active Distribution Grids under Uncertainty

no code implementations8 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.

Fast Mapping of Flexibility Regions at TSO-DSO Interfaces under Uncertainty

no code implementations18 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.

Online Feedback Droop Scheduling in Distribution Grids for Frequency and Local Voltage Control

no code implementations6 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).

Scheduling

Approximation by Simple Poles -- Part II: System Level Synthesis Beyond Finite Impulse Response

no code implementations31 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.

Chance-constrained OPF: A Distributed Method with Confidentiality Preservation

no code implementations28 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.

Decision Making

Control-aware Probabilistic Load Flow for Transmission Systems: An Analytical Method

no code implementations28 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.

Multiple Ancillary Services Provision by Distributed Energy Resources in Active Distribution Networks

no code implementations18 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.

Game-Theoretic Energy Source Allocation Mechanism in Smart-Grids

no code implementations25 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.

Differentially-Private Heat and Electricity Markets Coordination

no code implementations25 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.

Privacy Preserving Time Series +1

Data-Driven Demand-Side Flexibility Quantification: Prediction and Approximation of Flexibility Envelopes

no code implementations25 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.

Improving Stability of Low-Inertia Systems using Virtual Induction Machine Synchronization for Grid-Following Converters

no code implementations11 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.

Cost-Oriented Load Forecasting

no code implementations5 Jul 2021 Jialun Zhang, Yi Wang, Gabriela Hug

Accurate load prediction is an effective way to reduce power system operation costs.

Load Forecasting

Unsupervised Disaggregation of Water Heater Load from Smart Meter Data Processing

no code implementations7 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.

Non-Intrusive Load Monitoring

Techno-economic analysis of PV-battery systems in Switzerland

no code implementations30 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.

Stochastic Hybrid Approximation for Uncertainty Management in Gas-Electric Systems

no code implementations23 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.

Management Stochastic Optimization

High Resolution Generation Expansion Planning Considering Flexibility Needs: The Case of Switzerland in 2030

no code implementations5 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

Generic Existence of Unique Lagrange Multipliers in AC Optimal Power Flow

no code implementations18 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

TDNetGen: An open-source, parametrizable, large-scale, transmission and distribution test system

1 code implementation6 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

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