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arXiv 2020年

作者： Engelmann, Alexander Jiang, Yuning Benner, Henrieke Ou, Ruchuan Houska, Boris Faulwasser, Timm Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Karlsruhe Germany School of Information Science and Technology ShanghaiTech University Shanghai China

This paper introduces an open-source software for distributed and decentralized non-convex optimization named ALADIN-α. ALADIN-α is a MATLAB implementation of tailored variants of the Augmented Lagrangian Alternating Direction Inexact Newton (ALADIN) algorithm. Its user interface is convenient for rapid prototyping of non-convex distributed optimization algorithms. An improved version of the recently proposed bi-level variant of ALADIN is included enabling decentralized non-convex optimization with reduced information exchange. A collection of examples from different applications fields including chemical engineering, robotics, and power systems underpins the potential of ALADIN-α. Copyright © 2020, The Authors. All rights reserved.

关键词： Constrained optimization

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Corrigendum to “ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles” [Energy Build. 265 (2022) 112096]

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Energy and Buildings 2023年 286卷

作者： Matias Quintana Till Stoeckmann June Young Park Marian Turowski Veit Hagenmeyer Clayton Miller College of Design and Engineering National University of Singapore Singapore Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Germany Department of Civil Engineering University of Texas at Arlington USA

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Distributed AC Optimal Power Flow: A Scalable Solution for Large-Scale Problems

arXiv

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arXiv 2025年

作者： Dai, Xinliang Jiang, Yuning Guo, Yi Jones, Colin N. Diehl, Moritz Hagenmeyer, Veit Institute for Automation and Applied Informatics The Karlsruhe Institute of Technology Germany Automatic Control Laboratory EPFL Switzerland Urban Energy Systems Laboratory Swiss Federal Laboratory for Materials Science and Technology Switzerland Department of Mathematics University of Freiburg Germany

This paper introduces a novel distributed optimization framework for large-scale AC Optimal Power Flow (OPF) problems, offering both theoretical convergence guarantees and rapid convergence in practice. By integrating smoothing techniques and the Schur complement, the proposed approach addresses the scalability challenges and reduces communication overhead in distributed AC OPF. Additionally, optimal network decomposition enables efficient parallel processing under the single program multiple data (SPMD) paradigm. Extensive simulations on large-scale benchmarks across various operating scenarios indicate that the proposed framework is 2 to 5 times faster than the state-of-the-art centralized solver IPOPT on modest hardware. This paves the way for more scalable and efficient distributed optimization in future power system applications. Copyright © 2025, The Authors. All rights reserved.

关键词： Parallel processing systems

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Evaluating Ensemble Post-Processing for Wind Power Forecasts

arXiv

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arXiv 2020年

作者： Phipps, Kaleb Lerch, Sebastian Andersson, Maria Mikut, Ralf Hagenmeyer, Veit Ludwig, Nicole Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Germany Department of Economics Karlsruhe Institute of Technology Germany Department of Management and Engineering Division of Energy Systems Linköping University Sweden Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Germany Excellence Machine Learning University of Tübingen Germany

Capturing the uncertainty in probabilistic wind power forecasts is challenging, especially when uncertain input variables, such as the weather, play a role. Since ensemble weather predictions aim to capture the uncertainty in the weather system, they can be used to propagate this uncertainty through to subsequent wind power forecasting models. However, as weather ensemble systems are known to be biased and underdispersed, meteorologists post-process the ensembles. This postprocessing can successfully correct the biases in the weather variables but has not been evaluated thoroughly in the context of subsequent forecasts, such as wind power generation forecasts. Copyright © 2020, The Authors. All rights reserved.

关键词： Electric power generation

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Mixed-Integer vs. Real-Valued Formulations of Battery Scheduling Problems

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IFAC-PapersOnLine 2018年第28期51卷 350-355页

作者： Murray, Alexander Faulwasser, Timm Hagenmeyer, Veit Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Karlsruhe Germany

Coordinating the charging and discharging of a population of batteries with respect to load and generation forecasts decreases operating costs. However, in the case of asymmetric charging and discharging efficiencies the mathematical formulation of this problem is not straightforward. This paper compares the scheduling problem for a population of batteries in two formulations: mixed-integer (MINLP) and non-convex real-valued (NLP). In the case of the latter, the resulting separable NLP is solved using the Augmented Lagrangian based Alternating Direction Inexact Newton (ALADIN). In the case of the latter, the resulting MINLP is solved in hierarchical distributed fashion, we propose a mixed-integer extension of ALADIN. Real load and generation data is used to create an example of 54 batteries demonstrating improved performance for the MINLP formulation. © 2018

关键词： Charging (batteries) Constrained optimization Natural language processing systems Operating costs Scheduling Secondary batteries Standby power systems ALADIN Alternating directions Augmented Lagrangians Distributed optimization Generation forecast Mathematical formulation MINLP Scheduling problem

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Hierarchical Distributed Mixed-Integer Optimization for Reactive Power Dispatch

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IFAC-PapersOnLine 2018年第28期51卷 368-373页

作者： Murray, Alexander Engelmann, Alexander Hagenmeyer, Veit Faulwasser, Timm Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Karlsruhe Germany

One key aspect of power system operation is the minimization of line losses while maintaining voltages within certain limits. Doing so can be achieved through the use of voltage regulators, tap changing transformers, and shunt capacitors. However, both tap changing transformers and/or shunt capacitors are operated in a discrete manner, i.e. the inputs can only take finitely many discrete values. Thus, the problem of minimizing line losses while maintaining voltage stability can be cast as a mixed-integer optimization problem. For large grids or cases where independent entities have concurrent control of the system, distributed optimization provides a solution. The present paper discusses a hierarchically distributed approach; i.e. the problem is partitioned into local subproblems and solved using a mixed-integer extension of the Augmented Lagrangian based Alternating Direction Inexact Newton (ALADIN) algorithm. We present results for the IEEE 14- and 30-bus systems and compare them with previous approaches, such as particle swarm optimization and genetic algorithms. © 2018

关键词： Electric load dispatching Concurrency control Constrained optimization Electric load flow Genetic algorithms Integer programming Particle swarm optimization (PSO) Reactive power Voltage regulators Alternating directions Distributed approaches Distributed optimization Mixed integer optimization Mixed integer problems Optimal power flows Power system operations Reactive power dispatch

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ED4GAP: Efficient Detection for GOOSE-Based Poisoning Attacks on IEC 61850 Substations

ED4GAP: Efficient Detection for GOOSE-Based Poisoning Attack...

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IEEE International Conference on Smart Grid Communications (SmartGridComm)

作者： Atul Bohara Jordi Ros-Giralt Ghada Elbez Alfonso Valdes Klara Nahrstedt William H. Sanders Information Trust Institute University of Illinois at Urbana-Champaign Reservoir Labs Institute of Automation and Applied Informatics Karlsruhe Institute of Technology

ISBN: (数字)9781728161273

ISBN: (纸本)9781728163598

Devices in IEC 61850 substations use the generic object-oriented substation events (GOOSE) protocol to exchange protection-related events. Because of its lack of authentication and encryption, GOOSE is vulnerable to man-in-the-middle attacks. An adversary with access to the substation network can inject carefully crafted messages to impact the grid's availability. One of the most common such attacks, GOOSE-based poisoning, modifies the StNum and SqNum fields in the protocol data unit to take over GOOSE publications. We present ED4GAP, a network- level system for efficient detection of the poisoning attacks. We define a finite state machine model for network communication concerning the attacks. Guided by the model, ED4GAP analyzes network traffic out-of-band and detects attacks in real-time. We implement a prototype of the system and evaluate its detection accuracy. We provide a systematic approach to assessing bottlenecks, improving performance, and demonstrating that ED4GAP has low overhead and meets GOOSE's timing constraints.

关键词： Substations Protocols Relays IEC Standards Security Real-time systems Ethernet

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*** – A Julia Package for Polynomial Chaos in Systems and Control

arXiv

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arXiv 2020年

作者： Mühlpfordt, Tillmann Zahn, Frederik Hagenmeyer, Veit Faulwasser, Timm Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Karlsruhe Germany Department of Electrical Engineering and Information Technology Technical University Dortmund Dortmund Germany

Polynomial chaos expansion (pce) is an increasingly popular technique for uncertainty propagation and quantification in systems and control. Based on the theory of Hilbert spaces and orthogonal polynomials, pce allows for a unifying mathematical framework to study systems under arbitrary uncertainties of finite variance;we introduce this problem as a so-called mapping under uncertainty. For practical pce-based applications we require orthogonal polynomials relative to given probability densities, and their quadrature rules. With *** we provide a Julia software package that delivers the desired functionality: given a probability density function, *** offers several numerical routines to construct the respective orthogonal polynomials, and the quadrature rules together with tensorized scalar products. *** is the first pce-related software written in Julia, a scientific programming language that combines the readability of scripted languages with the speed of compiled languages. We provide illustrating numerical examples that show both pce and *** in action. Copyright © 2020, The Authors. All rights reserved.

关键词： Orthogonal functions

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Assessment of a scheduling strategy for dispatching prosumption of an industrial campus

Assessment of a scheduling strategy for dispatching prosumpt...

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Internationaler ETG-Kongress 2019: Das Gesamtsystem im Fokusder Energiewende - International ETG Congress 2019: The Overall System in the Focus of the Energy Turnaround

作者： Appino, Riccardo Remo González Ordiano, Jorge Ángel Munzke, Nina Mikut, Ralf Faulwasser, Timm Hagenmeyer, Veit Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Eggenstein-Leopoldshafen76344 Germany Institute of Electrotechnical Engineering Karlsruhe Institute of Technology Eggenstein-Leopoldshafen76344 Germany

ISBN: (纸本)9783800749553

Effective scheduling of the power exchange with an external grid is of interest for clusters of devices (including consumption, generation and storage) that aim to participate in energy markets. Scheduling is often performed by means of optimization-based algorithms considering uncertain forecasts of inflexible generation and consumption. In this paper, we assess the performance of a previously proposed scheduling algorithm—based on non-parametric probabilistic forecasts both in terms of power and energy—in a realistic industrial campus setting. Simulation results using real data from the KIT north campus underpin the applicability of the proposed algorithm. © VDE VERLAG GMBH Â Berlin Â Offenbach

关键词： Scheduling algorithms

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Automated fabrication of multi-layer printed electronic circuits using a novel vector ink-jet printing process control and surface mounting of discrete components

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IFAC-PapersOnLine 2019年第15期52卷 609-614页

作者： Ulrich Gengenbach Martin Ungerer Liane Koker Klaus-Martin Reichert Peter Stiller Chengyuan Huang Veit Hagenmeyer Institute for Automation and Applied Informatics Karlsruhe Institute of Technology 76021 Karlsruhe Germany

Printed electronics offer great potential for new applications such as Internet of Things devices and wearables. A methodology for integration of design and process assessment based on a stepwise transfer of the circuit to be printed from printed circuit board test vehicles to the final printed substrate is introduced. A multi-layer vector ink-jet printing process with three functional inks is presented using the example of the fabrication of a demonstrator circuit. This fabrication is realized using a newly set up printing system as enabling technology: Integration of a piezo print head into the path planning of the printing system and its control as virtual stepper axis enable highly precise vector printing yielding printed functional elements with low tolerances. Finally, process improvements for assembly of surface mounted devices on printed foil substrates are outlined.

关键词： Functional Printing printed circuits process automation systems design iterative improvement transcoders piezo print head as virtual stepper axis

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