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arXiv 2022年

作者： Schäfer, Benjamin Pesch, Thiemo Manik, Debsankha Gollenstede, Julian Lin, Guosong Beck, Hans-Peter Witthaut, Dirk Timme, Marc Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Eggenstein-Leopoldshafen76344 Germany Faculty of Science and Technology Norwegian University of Life Sciences Ås1432 Norway School of Mathematical Sciences Queen Mary University of London United Kingdom Institute for Theoretical Physics Technical University of Dresden Dresden01062 Germany Jülich52428 Germany Göttingen37077 Germany Clausthal-Zellerfeld Germany Jülich52428 Germany Institute for Theoretical Physics University of Cologne Köln50937 Germany Lakeside Labs Lakeside B04b Klagenfurt9020 Austria

The ongoing energy transition requires power grid extensions to connect renewable generators to consumers and to transfer power among distant areas. The process of grid extension requires a large investment of resources and is supposed to make grid operation more robust. Yet, counter-intuitively, increasing the capacity of existing lines or adding new lines may also reduce the overall system performance and even promote blackouts due to Braess’ paradox. Braess’ paradox was theoretically modeled but not yet proven in realistically scaled power grids. Here, we present an experimental setup demonstrating Braess’ paradox in an AC power grid and show how it constrains ongoing large-scale grid extension projects. We present a topological theory that reveals the key mechanism and predicts Braessian grid extensions from the network structure. These results offer a theoretical method to understand and practical guidelines in support of preventing unsuitable infrastructures and the systemic planning of grid extensions. © 2022, CC BY.

关键词： Investments

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Position estimation of the mobile robot using the Kalman filter 18

Position estimation of the mobile robot using the Kalman fil...

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18th Conference on applied Mathematics, APLIMAT 2019

作者： Slovák, Juraj Vašek, Pavol Melicher, Markus Mikuláš, Erik Institute of Automation Measurement and Applied Informatics Faculty of Mechanical Engineering Slovak University of Technology in Bratislava Nám. slobody 17 Bratislava812 31 Slovakia

ISBN: (纸本)9781510882140

The paper presents need of using Kalman filtering to optimize location of mobile robotic systems and more accurate navigation. Theoretical knowledge was verified on real system represented by mobile robotic system (MRS) with mecanum wheel. Construction deficiencies causes large deviations in movement from desired trajectory, which makes using Kalman filter more efficient. Localization was performed in indoor hall using odometry from motion sensors and tracking landmarks placed on the hall ceiling with infrared camera Stargazer. On obtained data was used discrete KF, subsequently modified data were used to regulate motion. Acquired motion trajectories were compared at the end of the article. © applied Mathematics, APLIMAT *** right reserved.

关键词： Kalman filters

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A New Communication Concept for Efficient Configuration of Energy Systems Integration Co-Simulation

A New Communication Concept for Efficient Configuration of E...

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International Workshop/Symposium on Distributed Simulation and Real-Time Applications (DS-RT)

作者： Anselm Erdmann Hüseyin K. Çakmak Uwe Kühnapfel Veit Hagenmeyer Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Karlsruhe Germany

By combining several existing simulators, co-simulation approaches are designed for efficient simulator development. Especially for energy systems integration simulations involving different physical domains, co-simulation is the required approach. However, co-simulation setup is complex, time-consuming, and additionally, error-prone for large simulations, especially if visualizations are included. Therefore, for an intensive information exchange between simulators, the present paper introduces a new network-based communication concept including the co-simulation setup procedure. The proposed setup concept enables an efficient configuration for the coupling of distributed simulation modules. The evaluation of the implemented concept on an exemplary power grid simulation with integration of power-to-gas and gas-to-power components and power grid visualization shows the ability for efficient handling of a high amount of exchanged simulation data.

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A Comparison of Economic MPC Formulations for Thermal Building Control

A Comparison of Economic MPC Formulations for Thermal Buildi...

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IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： Philipp Zwickel Alexander Engelmann Lutz Gröll Veit Hagenmeyer Dominique Sauer Timm Faulwasser Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Karlsruhe Germany

We investigate different formulations of economic model predictive control for thermal building control. Specifically, we study the trade-off of (possibly conflicting) objectives like temperature tracking, saving energy, and minimizing energy cost. We compare the proposed formulations to conventional proportional control for a modern office building. Our findings indicate that, if price incentives are sufficiently high, a concrete core activation system significantly increases the load shifting capabilities of office buildings.

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A comparison of partitioning strategies in AC optimal power flow

arXiv

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arXiv 2019年

作者： Murray, Alexander Kyesswa, Michael Schmurr, Philipp Çakmak, Hüseyin K. Hagenmeyer, Veit Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Karlsruhe Germany

—The highly non-convex AC optimal power flow problem is known to scale very poorly with respect to the number of lines and buses. To achieve improved computational speed and scalability, we apply a distributed optimization algorithm, the so-called Augmented Lagrangian based Alternating Direction Inexact Newton (ALADIN) method. However, the question of how to optimally partition a power grid for use in distributed optimization remains open in the literature. In the present paper, we compare four partitioning strategies using the standard IEEE 9, 14, 30, 39, 57, 118, 300 bus models as the performance benchmark. To this end, we apply the graph partitioners KaFFPa and METIS as well as two spectral clustering methods to the aforementioned bus models. For larger grids, KaFFPa yields the best results on average. Copyright © 2019, The Authors. All rights reserved.

关键词： Acoustic generators

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A Hybrid Analysis Approach for Transient Stability Assessment in Power Systems

A Hybrid Analysis Approach for Transient Stability Assessmen...

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Power Tech Conference

作者： Michael Kyesswa Hüseyin K. Cakmak Lutz Gröll Uwe Kühnapfel Veit Hagenmeyer Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Karlsruhe Germany

The computational complexity involved in time-domain simulations, commonly used for analyzing transient stability in power systems, usually limits system studies to a few scenarios during the planning process. Complete analysis, however, requires investigation of all possible contingencies and consideration of the continuous changes in the operating point, which necessitates fast analysis techniques during network operation. The present paper introduces a hybrid analysis approach combining a direct-method and time-domain simulations for the fast analysis of power system transients. The combined analysis relies on a Lyapunov-based direct approach using the Potential Energy Boundary Surface (PEBS) method for a fast selection of critical contingencies in the first stage. In the second stage, the critical contingencies are further investigated by time-domain simulations. Simulation results are presented using a real network of the Baden-Württemberg state (Germany) in order to illustrate the simulation process of the implemented approach.

关键词： Stability analysis Power system stability Mathematical model Transient analysis Analytical models Computational modeling

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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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International ETG-Congress 2019;ETG Symposium

作者： Riccardo Remo Appino Jorge Angel Gonzalez Ordiano Nina Munzke Ralf Mikut Timm Faulwasser Veit Hagenmeyer Institute for Automation and Applied Informatics Institute of Electrotechnical Engineering Karlsruhe Institute of Technology

ISBN: (纸本)9783800749546

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.

关键词： scheduling policy power markets Dispatching Industrial observational data Simulation results Power exchange energy market

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DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI

arXiv

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arXiv 2024年

作者： Ruiz-Perez, Marina Morell-Ortega, Sergio Gadea, Marien Vivo-Hernando, Roberto Rubio, Gregorio Aparici, Fernando de la Iglesia-Vaya, Mariam Tourdias, Thomas Coupé, Pierrick Manjón, José V. Mansencal, Boris Polytechnic University of Valencia Valencia Spain Department of Psychobiology Faculty of Psychology University de Valencia Valencia Spain Institute of Automation and Industrial Informatics Polytechnic University of Valencia Valencia Spain Department of Applied Mathematics Polytechnic University of Valencia Valencia Spain Medical Imaging Area La Fe University and Polytechnic Hospital Valencia Spain Mixed Unit of Biomedical Imaging FISABIO-CIPF Foundation for the Promotion of Health and Biomedical Research of the Valencian Community Valencia Spain University Bordeaux INSERM Neurocentre Magendie U1215 Bordeaux France CNRS University Bordeaux Bordeaux INP LABRI UMR5800 in2brain Talence France

The implication of the thalamus in multiple neurological pathologies makes it a structure of interest for volumetric analysis. In the present work, we have designed and implemented a multimodal volumetric deep neural network for the segmentation of thalamic nuclei at ultra-high resolution (0.5 mm isotropic). Most current tools either operate at standard resolution (1 mm isotropic) or use monomodal data. To build the roposed method, first, a database of semiautomatically segmented thalamic nuclei was created using ultra-high resolution T1, T2 and White Matter nulled (WMn) images. Then, a novel Deep learning-based strategy was designed to obtain the automatic segmentations trained using a novel semi-supervised approch to improve its robustness and accuracy. The proposed method was compared with a related state-of-the-art method demonstrating competitive results both in terms of segmentation quality and efficiency. To ensure our method’s accessibility to the scientific community, a full pipeline able to work with monomodal standard resolution T1 images is also proposed. Copyright © 2024, The Authors. All rights reserved.

关键词： Image enhancement

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An industry 4.0 framework for tooling production using metal additive manufacturing-based first-time-right smart manufacturing system 53

An industry 4.0 framework for tooling production using metal...

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53rd CIRP Conference on Manufacturing Systems, CMS 2020

作者： Moshiri, Mandaná Charles, Amal Elkaseer, Ahmed Scholz, Steffen Mohanty, Sankhya Tosello, Guido Department of Mechanical Engineering Technical University of Denmark Building 427 Produktionstorvet 5 Kgs. LyngbyDK-2800 Denmark Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Eggenstein-Leopoldshafen76344 Germany Faculty of Engineering Port Said University Port Fuad42526 Egypt Karlsruhe Nano Micro Facility Hermann-von-Helmholtz-Platz 1 Eggenstein-Leopoldshafen76344 Germany

This paper presents a concept for an integrated process chain for tooling production based on metal additive manufacturing. The proposed approach aims at taking advantage of a fully digitized production line, describing the main steps for the synergetic integration of the manufacturing assets. The production line entails digital infrastructure that collects and elaborate data from various monitoring sensors to execute corrective actions and continuously optimize the process. This line will bring breakthrough benefits, like flexibility and full traceability. Also challenges, as change management in the industry, skills gap, the requirement of new business models and product re-design have been addressed. © 2020 The Authors.

关键词： Industry 4.0

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From IEEE 11073 SDC Device Specializations to Assistive Systems: Rule-based Data Analysis for Minimal Invasive Surgery

From IEEE 11073 SDC Device Specializations to Assistive Syst...

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2019 International Conference on Smart Applications, Communications and Networking, SmartNets 2019

作者： Kasparick, Martin Butzin, Bjorn Golatowski, Frank Pabst, Jonas Cappius, Hans-Joachim Westerhoff, Peter Andersen, Bjorn Timmermann, Dirk Institute of Applied Microelectronics University of Rostock Rostock Germany Institute of Automation University of Rostock Rostock Germany WORLD of MEDICINE GmbH Berlin Germany Institute of Medical Informatics University of Lübeck Lübeck Germany

ISBN: (纸本)9781728142746

Modern surgical devices are full of innovations and provide plenty of functionalities. However, they only perform to their full potential if they are properly configured. Only a small subset of surgical device functionalities is used due to the high complexity of today's device systems and the omnipresent situation that only the circulating nurses can (re-)configure non-sterile devices. Hence, there is a huge need for safe and effective assistance supporting the operating room (OR) staff to continuously work with the potentially best device setting to increase patient's safety and clinical outcome. Therefore, we propose a concept for situation-Aware parameter recommendations and automatic (re-)configuration. Free access to adequate data is a prerequisite to extract knowledge for assistive systems and to provide situation awareness during execution. Thus, manufacturer-independent medical device interoperability is a basic requirement. Consequently, we use the new IEEE 11073 Service-oriented Device Connectivity (SDC) standards family, including Device Specializations. As part of the developing committee we introduce the idea and concept behind Device Specializations and highlight their use for assistive systems in the domain of minimal invasive surgery. To ensure safety and effectiveness of the assistive functionalities, our concept enforces deterministic rules providing a predictable and approvable behavior. We demonstrate our concept by the use case of a smart surgical double roller pump using an interpreter-based Rule Execution Engine. © 2019 IEEE.

关键词： Electronic data interchange

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