no code implementations • 30 Apr 2024 • Vinzenz Tütsch, Zhiyu He, Florian Dörfler, Kenan Zhang
This paper develops an adaptive traffic control policy inspired by Maximum Pressure (MP) while imposing coordination across intersections.
no code implementations • 25 Apr 2024 • Yi Han, Ge Chen, Florian Dörfler, Wenjun Mei
It turns out that the proof methods for the original discrete-time asynchronous model are no longer applicable to the analysis of the continuous-time model.
no code implementations • 20 Apr 2024 • Xiuqiang He, Maitraya Avadhut Desai, Linbin Huang, Florian Dörfler
We propose a novel "cross-forming" control concept for grid-forming inverters operating against grid faults.
no code implementations • 18 Apr 2024 • Sophie Hall, Dominic Liao-McPherson, Giuseppe Belgioioso, Florian Dörfler
Game-theoretic MPC (or Receding Horizon Games) is an emerging control methodology for multi-agent systems that generates control actions by solving a dynamic game with coupling constraints in a receding-horizon fashion.
no code implementations • 15 Apr 2024 • Roger Domingo-Enrich, Xiuqiang He, Verena Häberle, Florian Dörfler
Complex droop control, alternatively known as dispatchable virtual oscillator control (dVOC), stands out for its unique capabilities in synchronization and voltage stabilization among existing control strategies for grid-forming converters.
no code implementations • 11 Apr 2024 • Maitraya Avadhut Desai, Xiuqiang He, Linbin Huang, Florian Dörfler
In this paper, we investigate the transient stability of a state-of-the-art grid-forming complex-droop control (i. e., dispatchable virtual oscillator control, dVOC) under current saturation.
no code implementations • 3 Apr 2024 • Ezzat Elokda, Heinrich Nax, Saverio Bolognani, Florian Dörfler
A system of non-tradable credits that flow between individuals like karma, hence proposed under that name, is a mechanism for repeated resource allocation that comes with attractive efficiency and fairness properties, in theory.
no code implementations • 25 Mar 2024 • Jonas Rothfuss, Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause
We present SIM-FSVGD for learning robot dynamics from data.
no code implementations • 25 Mar 2024 • Chris Verhoek, Jaap Eising, Florian Dörfler, Roland Tóth
A promising step from linear towards nonlinear data-driven control is via the design of controllers for linear parameter-varying (LPV) systems, which are linear systems whose parameters are varying along a measurable scheduling signal.
no code implementations • 10 Mar 2024 • Ben Sprenger, Giulia De Pasquale, Raffaele Soloperto, John Lygeros, Florian Dörfler
A closed-loop control model to analyze the impact of recommendation systems on opinion dynamics within social networks is introduced.
no code implementations • 4 Mar 2024 • Lukas Ortmann, Fabian Böhm, Florian Klein-Helmkamp, Andreas Ulbig, Saverio Bolognani, Florian Dörfler
A flexibility request from the transmission grid to a distribution grid then needs to be split up onto the different flexibility providing units (FPU) in the distribution grid.
no code implementations • 31 Jan 2024 • Verena Häberle, Xiuqiang He, Linbin Huang, Eduardo Prieto-Araujo, Florian Dörfler
In this paper, we propose a systematic closed-loop approach to provide optimal dynamic ancillary services with converter-interfaced generation systems based on local power grid perception.
no code implementations • 25 Jan 2024 • Florian Dörfler, Zhiyu He, Giuseppe Belgioioso, Saverio Bolognani, John Lygeros, Michael Muehlebach
Traditionally, numerical algorithms are seen as isolated pieces of code confined to an {\em in silico} existence.
no code implementations • 18 Jan 2024 • Jean-Sébastien Brouillon, Keith Moffat, Florian Dörfler, Giancarlo Ferrari-Trecate
The primary result of the paper is that, while the impedance of a line or a network can be estimated without synchronized phase angle measurements in a consistent way, the admittance cannot.
no code implementations • 18 Jan 2024 • Sophie Hall, Laura Guerrini, Florian Dörfler, Dominic Liao-McPherson
Supply chains transform raw materials into finished goods and distribute them to end consumers.
no code implementations • 12 Jan 2024 • Michael Schneeberger, Silvia Mastellone, Florian Dörfler
The second part of this work details the implementation of the safety filter as a Quadratically Constrained Quadratic Program (QCQP), whose constraints encode the CBF and CLF conditions as well as the input constraints.
no code implementations • 16 Nov 2023 • Alessio Rimoldi, Carlo Cenedese, Alberto Padoan, Florian Dörfler, John Lygeros
Urban traffic congestion remains a pressing challenge in our rapidly expanding cities, despite the abundance of available data and the efforts of policymakers.
no code implementations • 15 Oct 2023 • Xiuqiang He, Florian Dörfler
We prove that the popular grid-forming control, i. e., dispatchable virtual oscillator control (dVOC), also termed complex droop control, exhibits output-feedback passivity in its large-signal model, featuring an explicit and physically meaningful passivity index.
no code implementations • 15 Oct 2023 • Xiuqiang He, Linbin Huang, Irina Subotić, Verena Häberle, Florian Dörfler
In this paper, we study analytically the transient stability of grid-connected distributed generation systems with grid-forming (GFM) complex droop control, also known as dispatchable virtual oscillator control (dVOC).
no code implementations • 2 Oct 2023 • Verena Häberle, Linbin Huang, Xiuqiang He, Eduardo Prieto-Araujo, Florian Dörfler
Namely, we translate the piece-wise linear time-domain curves for active and reactive power provision in response to a frequency and voltage step change into a desired rational parametric transfer function in the frequency domain, which defines a dynamic response behavior to be realized by the converter.
no code implementations • 14 Sep 2023 • Linbin Huang, Dan Wang, Xiongfei Wang, Huanhai Xin, Ping Ju, Karl H. Johansson, Florian Dörfler
This paper proposes decentralized stability conditions for multi-converter systems based on the combination of the small gain theorem and the small phase theorem.
no code implementations • 4 Sep 2023 • Cheng Feng, Linbin Huang, Xiuqiang He, Yi Wang, Florian Dörfler, Qixin Chen
To address this gap, this paper defines the joint oscillation damping and inertia provision services at the system level, seeking to encourage converter-interfaced generation to provide enhanced damping and fast frequency response capabilities.
no code implementations • 2 Sep 2023 • Moritz Andrejewski, Verena Häberle, Nico Goldschmidt, Florian Dörfler, Horst Schulte
Recently, the concept of dynamic virtual power plants (DVPP) has been proposed to collectively provide desired dynamic ancillary services such as fast frequency and voltage control by a heterogeneous ensemble of distributed energy resources (DER).
no code implementations • 26 Jun 2023 • Florian Klein-Helmkamp, Fabian Böhm, Lukas Ortmann, Alexander Winkens, Florian Schmidtke, Saverio Bolognani, Florian Dörfler, Andreas Ulbig
Distribution grid flexibility is discussed as a possible measure in curative system operation, yielding a need for an efficient and robust coordination mechanism for the joint flexibility provision by individual units to the transmission grid.
no code implementations • 26 Jun 2023 • Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate
Towards bridging classical optimal control and online learning, regret minimization has recently been proposed as a control design criterion.
no code implementations • 11 May 2023 • Lukas Ortmann, Christian Rubin, Alessandro Scozzafava, Janick Lehmann, Saverio Bolognani, Florian Dörfler
Optimization is an essential part of power grid operation and lately, Online Optimization methods have gained traction.
no code implementations • 8 May 2023 • Jonas G. Matt, Lukas Ortmann, Saverio Bolognani, Florian Dörfler
In this paper, we use real consumption and generation data on a low-voltage CIGR\'E grid model and an experiment on a real distribution grid feeder to analyze how different Volt/VAr methods can enhance grid capacity, i. e., by how much they can improve the grid's capability to transmit active power without building new lines.
no code implementations • 29 Apr 2023 • Verena Häberle, Linbin Huang, Xiuqiang He, Eduardo Prieto-Araujo, Roy S. Smith, Florian Dörfler
A fast and accurate grid impedance measurement of three-phase power systems is crucial for online assessment of power system stability and adaptive control of grid-connected converters.
no code implementations • 29 Apr 2023 • Sanjay Chandrasekaran, Vishnu Varadan, Siva Vignesh Krishnan, Florian Dörfler, Mohammad H. Mamduhi
We provide comparisons between the estimation performance of our proposed algorithm and a greedy algorithm that exhaustively selects an optimal subset of nodes.
1 code implementation • 28 Apr 2023 • Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate
Specifically, we focus on the problem of designing a feedback controller that minimizes the loss relative to a clairvoyant optimal policy that has foreknowledge of both the system dynamics and the exogenous disturbances.
no code implementations • 24 Apr 2023 • Panagiotis D. Grontas, Carlo Cenedese, Marta Fochesato, Giuseppe Belgioioso, John Lygeros, Florian Dörfler
We study the problem of optimally routing plug-in electric and conventional fuel vehicles on a city level.
no code implementations • 19 Apr 2023 • Jean-Sébastien Brouillon, Florian Dörfler, Giancarlo Ferrari-Trecate
We provide a direct method using samples of the noise to create a moving horizon observer for linear time-varying and nonlinear systems, which is optimal under the empirical noise distribution.
1 code implementation • 7 Mar 2023 • Soroosh Shafieezadeh-Abadeh, Liviu Aolaritei, Florian Dörfler, Daniel Kuhn
We study optimal transport-based distributionally robust optimization problems where a fictitious adversary, often envisioned as nature, can choose the distribution of the uncertain problem parameters by reshaping a prescribed reference distribution at a finite transportation cost.
no code implementations • 9 Feb 2023 • Varsha Behrunani, Andrew Irvine, Giuseppe Belgioioso, Philipp Heer, John Lygeros, Florian Dörfler
Several autonomous energy management and peer-to-peer trading mechanisms for future energy markets have been recently proposed based on optimization and game theory.
no code implementations • 29 Jan 2023 • Nicolas Lanzetti, Efe C. Balta, Dominic Liao-McPherson, Florian Dörfler
Since estimation problems can be posed as optimization problems in the probability space, we devise a stochastic projected Wasserstein gradient flow that keeps track of the belief of the estimated quantity and can consume samples from online data.
no code implementations • 17 Dec 2022 • Wenjun Mei, Julien M. Hendrickx, Ge Chen, Francesco Bullo, Florian Dörfler
Moreover, we prove a necessary and sufficient graph-theoretic condition for the almost-sure convergence to consensus, as well as a sufficient graph-theoretic condition for almost-sure persistent dissensus.
no code implementations • 15 Dec 2022 • Lukas Ortmann, Gianni Hotz, Saverio Bolognani, Florian Dörfler
Instead of pre-planning, we propose to calculate these complex curative actions in real-time after the occurrence of a contingency.
1 code implementation • 15 Dec 2022 • Lukas Ortmann, Jean Maeght, Patrick Panciatici, Florian Dörfler, Saverio Bolognani
The increasing electric power consumption and the shift towards renewable energy resources demand for new ways to operate transmission and subtransmission grids.
no code implementations • 25 Nov 2022 • Jean-Sébastien Brouillon, Florian Dörfler, Giancarlo Ferrari-Trecate
Kalman and H-infinity filters, the most popular paradigms for linear state estimation, are designed for very specific specific noise and disturbance patterns, which may not appear in practice.
1 code implementation • 14 Nov 2022 • Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate
We consider control of dynamical systems through the lens of competitive analysis.
no code implementations • 14 Nov 2022 • Giuseppe Belgioioso, Dominic Liao-McPherson, Mathias Hudoba de Badyn, Nicolas Pelzmann, John Lygeros, Florian Dörfler
In distributed model predictive control (MPC), the control input at each sampling time is computed by solving a large-scale optimal control problem (OCP) over a finite horizon using distributed algorithms.
no code implementations • 14 Nov 2022 • Sophie Hall, Lukas Ortmann, Miguel Picallo, Florian Dörfler
Medical drug infusion problems pose a combination of challenges such as nonlinearities from physiological models, model uncertainty due to inter- and intra-patient variability, as well as strict safety specifications.
no code implementations • 28 Oct 2022 • Xiuqiang He, Verena Häberle, Irina Subotić, Florian Dörfler
In previous work, the global stability of dVOC (i. e., complex droop control) has been proven by prespecifying a nominal synchronous steady state.
no code implementations • 20 Oct 2022 • Antonio Terpin, Nicolas Lanzetti, Batuhan Yardim, Florian Dörfler, Giorgia Ramponi
In this paper, we explore optimal transport discrepancies (which include the Wasserstein distance) to define trust regions, and we propose a novel algorithm - Optimal Transport Trust Region Policy Optimization (OT-TRPO) - for continuous state-action spaces.
no code implementations • 17 Sep 2022 • Meng Chen, Dao Zhou, Ali Tayyebi, Eduardo Prieto-Araujo, Florian Dörfler, Frede Blaabjerg
A step-by-step construction and design procedure of the power control of grid-forming converters is also given.
no code implementations • 12 Sep 2022 • Nicolas Lanzetti, Joudi Hajar, Florian Dörfler
The study of complex political phenomena such as parties' polarization calls for mathematical models of political systems.
no code implementations • 29 Aug 2022 • Xiuqiang He, Verena Häberle, Florian Dörfler
In this paper, we study phase-amplitude multivariable dynamics in converter-based power systems from a complex-frequency perspective.
no code implementations • 15 Aug 2022 • Ezzat Elokda, Carlo Cenedese, Kenan Zhang, Andrea Censi, John Lygeros, Emilio Frazzoli, Florian Dörfler
In our CARMA scheme, the bottleneck is divided into a fast lane that is kept in free flow and a slow lane that is subject to congestion.
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 • 1 Jul 2022 • Ezzat Elokda, Saverio Bolognani, Andrea Censi, Florian Dörfler, Emilio Frazzoli
This paper presents karma mechanisms, a novel approach to the repeated allocation of a scarce resource among competing agents over an infinite time.
no code implementations • 27 Jun 2022 • Liviu Aolaritei, Soroosh Shafiee, Florian Dörfler
Wasserstein distributionally robust optimization has recently emerged as a powerful framework for robust estimation, enjoying good out-of-sample performance guarantees, well-understood regularization effects, and computationally tractable reformulations.
no code implementations • 4 Jun 2022 • Linbin Huang, John Lygeros, Florian Dörfler
This paper presents a robust and kernelized data-enabled predictive control (RoKDeePC) algorithm to perform model-free optimal control for nonlinear systems using only input and output data.
no code implementations • 3 Jun 2022 • Sophie Hall, Giuseppe Belgioioso, Dominic Liao-McPherson, Florian Dörfler
Distributed energy storage and flexible loads are essential tools for ensuring stable and robust operation of the power grid in spite of the challenges arising from the integration of volatile renewable energy generation and increasing peak loads due to widespread electrification.
no code implementations • 12 Apr 2022 • Jean-Sébastien Brouillon, Keith Moffat, Florian Dörfler, Giancarlo Ferrari-Trecate
This paper presents a method for jointly estimating the state, input, and parameters of linear systems in an online fashion.
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.
1 code implementation • 1 Mar 2022 • Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate
As we move towards safety-critical cyber-physical systems that operate in non-stationary and uncertain environments, it becomes crucial to close the gap between classical optimal control algorithms and adaptive learning-based methods.
no code implementations • 17 Feb 2022 • Meng Chen, Dao Zhou, Ali Tayyebi, Eduardo Prieto-Araujo, Florian Dörfler, Frede Blaabjerg
The classic design of grid-forming control strategies for power converters rely on the stringent assumption of the timescale separation between DC and AC states and their corresponding control loops, e. g., AC and DC loops, power and cascaded voltage and current loops, etc.
no code implementations • 4 Feb 2022 • Verena Häberle, Ali Tayyebi, Xiuqiang He, Eduardo Prieto-Araujo, Florian Dörfler
We present a novel grid-forming control design approach for dynamic virtual power plants (DVPP).
1 code implementation • NeurIPS 2021 • Andreas Schlaginhaufen, Philippe Wenk, Andreas Krause, Florian Dörfler
To this end, neural ODEs regularized with neural Lyapunov functions are a promising approach when states are fully observed.
no code implementations • 3 Oct 2021 • Miguel Picallo, Lukas Ortmann, Saverio Bolognani, Florian Dörfler
In this paper we propose an approach based on an Online Feedback Optimization (OFO) controller with grid input-output sensitivity estimation for real-time grid operation, e. g., at subsecond time scales.
no code implementations • 28 Sep 2021 • Miguel Picallo, Dominic Liao-McPherson, Saverio Bolognani, Florian Dörfler
In this paper, we propose a combined Online Feedback Optimization (OFO) and dynamic estimation approach for a real-time power grid operation under time-varying conditions.
no code implementations • 14 Sep 2021 • Meng Chen, Dao Zhou, Ali Tayyebi, Eduardo Prieto-Araujo, Florian Dörfler, Frede Blaabjerg
The grid-forming converter is an important unit in the future power system with more inverter-interfaced generators.
1 code implementation • 2 Aug 2021 • Verena Häberle, Michael W. Fisher, Eduardo Prieto-Araujo, Florian Dörfler
Our control approach relies on an adaptive divide-and-conquer strategy: first, we disaggregate the desired frequency and voltage control specifications of the aggregate DVPP via adaptive dynamic participation matrices (ADPMs) to obtain the desired local behavior for each device.
no code implementations • 9 Jul 2021 • Jean-Sébastien Brouillon, Emanuele Fabbiani, Pulkit Nahata, Keith Moffat, Florian Dörfler, Giancarlo Ferrari-Trecate
The increasing integration of intermittent renewable generation, especially at the distribution level, necessitates advanced planning and optimisation methodologies contingent on the knowledge of thegrid, specifically the admittance matrix capturing the topology and line parameters of an electricnetwork.
1 code implementation • 7 Jul 2021 • Joakim Björk, Karl Henrik Johansson, Florian Dörfler
To ensure frequency stability in future low-inertia power grids, fast ancillary services such as fast frequency reserves (FFR) have been proposed.
1 code implementation • NeurIPS 2021 • Lenart Treven, Philippe Wenk, Florian Dörfler, Andreas Krause
Differential equations in general and neural ODEs in particular are an essential technique in continuous-time system identification.
no code implementations • 15 May 2021 • Linbin Huang, Jianzhe Zhen, John Lygeros, Florian Dörfler
The proposed framework enables us to obtain model-free optimal control for LTI systems based on noisy input/output data.
no code implementations • 18 Dec 2020 • Wenjun Mei, Ge Chen, Noah E. Friedkin, Florian Dörfler
structural balance configurations of the appraisal networks.
Social and Information Networks Discrete Mathematics Systems and Control Systems and Control 93-10, 91D30, 68R10
no code implementations • 8 Dec 2020 • Linbin Huang, Jianzhe Zhen, John Lygeros, Florian Dörfler
Moreover, when the input/output constraints are inactive, the quadratic regularization leads to a closed-form solution of the DeePC algorithm and thus enables fast calculations.
no code implementations • 27 Nov 2019 • Linbin Huang, Jeremy Coulson, John Lygeros, Florian Dörfler
Further, we discuss how to relieve the computational burden of the Min-Max DeePC by reducing the dimension of prediction uncertainty and how to leverage disturbance feedback to reduce the conservativeness of robustification.
no code implementations • 8 Oct 2019 • Lukas Ortmann, Adrian Hauswirth, Ivo Caduff, Florian Dörfler, Saverio Bolognani
On a real distribution grid, we compare the local Volt/VAr droop control recommended in recent grid codes, a centralized dispatch based on optimal power flow (OPF) programming, and a feedback optimization (FO) controller that we propose.
no code implementations • 6 Sep 2019 • Miguel Picallo, Saverio Bolognani, Florian Dörfler
This consists in continuously driving the controllable power injections and loads towards the optimal set-points in time-varying conditions based on real-time measurements performed on the grid.
no code implementations • 27 Feb 2019 • Ali Tayyebi, Dominic Groß, Adolfo Anta, Friederich Kupzog, Florian Dörfler
An inevitable consequence of the global power system transition towards nearly 100% renewable-based generation is the loss of conventional bulk generation by synchronous machines, their inertia, and accompanying frequency and voltage control mechanisms.
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