News

Posted on

Neue Publikation über „Virtuelle Synchronmaschinen“

Wir freuen uns sehr über die Annahme eines Journalartikels im IEEE Open Journal of Industrial Electronics Society, verfasst von Andre Thommessen und Prof. Dr.-Ing. Christoph M. Hackl.

Unser Team des Labors für mechatronische und regenerative Energiesysteme (LMRES) an der Hochschule München (HM) hat erfolgreich die Virtuelle Synchronmaschinen (VSM) Regelung für Windkraftanlagen (WECS) mit doppelt-gespeisten Asynchronmaschinen entwickelt.

Das Ersetzen direkt ans Netz gekoppelter Synchronmaschinen durch erneuerbare  Umrichter-basierte Energiesysteme (IBRs) führt zu neuen Herausforderungen für die zukünftige Netzstabilität. Beispielsweise reduziert die herkömmliche netzfolgende Regelung von IBRs die Momentanreserve bzw. die Trägheit des Energiesystems, sodass neue netzbildende Regelungsmethoden, wie die VSM-Regelung, zur Trägheitsemulation benötigt werden.

Die vorgeschlagene Modellierung und Regelung von WECS bereitet den Weg für 100% erneuerbare Energieerzeugung durch die Kombination von VSM Regelung mit effizientem Betrieb von WECS und durch erkenntnisreiche Einblicke in die Dynamik zukünftiger Energiesysteme (basierend auf Simulationen des IEEE 9-bus Testsystems). Nähere Informationen unter https://ieeexplore.ieee.org/document/10436334.

Posted on

New Publication: Multi-objective Hyperparameter Optimization of Artificial Neural Networks for Optimal Feedforward Torque Control of Synchronous Machines

We are thrilled to announce our latest research, authored by Niklas Monzen, Florian Stroebl, Prof. Dr. Herbert Palm, and Prof. Dr.-Ing. Christoph M. Hackl, published in IEEE Open Journal of Industrial Electronics Society.

Our team successfully applied Multi-Objective Hyperparameter Optimization (MO-HPO) to identify the best Artificial Neural Network (ANN) architectures for the optimal feedforward torque control (OFTC) of synchronous machines.

This innovative method allows for systematically identifying Pareto-optimal ANNs, providing an optimal trade-off between accuracy and computational effort. We trained these identified Pareto-optimal ANNs, implemented them into a real-time system, and successfully tested them on a nonlinear reluctance synchronous machine (RSM) in our lab.

Drawing on the latest findings from ANN approximation theory, Niklas, Florian, Prof. Palm, and Prof. Hackl present valuable design guidelines for a Pareto-optimal, ANN-based OFTC design, significantly limiting the search space of ANN architectures.

📄 To the article: 10.1109/OJIES.2024.3356721

Posted on

New publication: Multi-material laser powder bed fusion additive manufacturing of concentrated wound stator teeth

We are pleased to present a new publication: The feasibility study on additive manufacturing of concentrated wound coils with multi-material printing is now available online free of charge.

In close collaboration with the Institut für Produktentwicklung und Gerätebau (IPeG) at the University of Hannover, the limits of additive manufacturing were investigated. Our research team has demonstrated how concentrated wound coils, including the stator tooth, can be manufactured using state-of-the-art multi-material printing technology.

The combination of additive manufacturing and multi-material printing not only enables the precise fabrication of complex geometric structures, but also opens up entirely new possibilities in the field of energy technology and electromobility.

Click here to view the publication and dive deeper into the world of additive manufacturing of concentrated wound coils. We look forward to answering your questions and exploring the opportunities of this exciting new technology with you.

Posted on

New research project on “Intelligent Filters for Harmonic Compensation in Low Voltage Grids”

A new research project on “Intelligent Filters for Harmonic Compensation in Low Voltage Grids” has been granted. The project will be a joint work with my colleague Prof. Marek Galek and will start in September 2023.

Abstract: The use of active filters will gain significant importance in the future to minimize or compensate for grid asymmetries, and harmonics caused by the increasing deployment of power electronic devices. This will ensure the quality and reliability of the European electric power system. Currently, reduced voltage quality and grid disturbances result in significant financial losses. In the proposed research project, an innovative and specially designed intelligent, efficient, fault-tolerant, and parallelizable multilevel inverter topology using wide-bandgap transistors and a state-space observer, control, and management concept will be developed, build, programmed, and validated in a laboratory environment. Various novel multilevel inverter topologies and control approaches will be thoroughly investigated and evaluated for their suitability as active filter systems. Based on the theoretical investigations, a demonstrator will be built to prove the technical feasibility. To examine the combination of multiple filters at a grid connection point, the demonstrator will be replicated and tested in the field within the university power subgrid. This test aims at evaluating the parallelization and scalability of the filter topology and the overall grid management, demonstrating the technical maturity of the developed active filters and their potential for commercialization.”