Steigen Sie ein in die faszinierende Welt des Deutschen Zentrums für Luft- und Raumfahrt (DLR), um mit Forschung und Innovation die Zukunft mitzugestalten! Mit dem Know-how und der Neugier unserer 11.000 Mitarbeitenden aus 100 Nationen sowie unserer einzigartigen Infrastruktur, bieten wir ein spannendes und inspirierendes Arbeitsumfeld. Gemeinsam entwickeln wir nachhaltige Technologien und tragen so zur Lösung globaler Herausforderungen bei. Möchten Sie diese große Zukunftsaufgabe mit uns zusammen angehen? Dann ist Ihr Platz bei uns!
For our Institute for Networked Energy Systems in Oldenburg, we are looking for a Student of energy technology, electrical engineering, physics or similar (m/f/x), Master's thesis: Modelling and simulation of a digital image (digital twin) of large-scale PV systems and photovoltaic power converter systems.
Das erwartet Sie:
Would you like to work in an interactive, co-operative and international team? Are you interested in the latest advancements and future developments in the field of renewable energy technologies, with considerable focus on the condition assessment of photovoltaic power converter systems? Then the Institute of Networked Energy Systems is an attractive employer for you. Our primary research objective is to develop concepts and technologies that ensure a stable power system with high penetration of weather-dependent and decentralized power generation from renewable energies.
The Institute of Networked Energy Systems employs around 190 people at its sites in Oldenburg and Stuttgart, working on present-day challenges in systems engineering and system analysis for intelligent and efficient coupling of the electricity, heating, industry and transport sectors.
The department of Energy System Technology focuses on studying interactions between system-relevant energy technologies within networked structures in decentralized grids. In distribution grids, we are striving for new architectures for the future energy systems that can ensure robust grid operation under the fluctuating feed-in.
In the Grid Technology group, we investigate system-stabilizing network resources and their control strategies for decentralized power grid architectures with a high share of renewable primary energy sources. Additionally, we research in development of novel control algorithms for rapid activation of ancillary grid services in power electronic converters.
As part of the PV-DiStAnS-3 project, methods for the early detection of degradation and general condition assessment of photovoltaic power converter systems are being developed. For this purpose, data sets of faulty and fault-free power converter systems are generated in laboratory and field tests, which are used as training data for machine learning algorithms and for the (further) development of detection approaches. The aim of the project is to identify critical conditions and potential sources of faults in PV systems at an early stage.
As part of the PV-DiStAnS-3:
* develop concepts and strategies for the digital mapping of photovoltaic power converter systems and other sub-components of ground-mounted PV systems in a simulation environment
* analyze the converter operation under various test scenarios
* evaluate the simulation results and compare them with measurement data from real ground-mounted PV systems
* close co-operation with the project partners in the development and analysis process of new detection approaches from simulation and field measurement data
Das erwarten wir von Ihnen:
* You are currently pursuing a Master's degree course in electrical engineering, power engineering, physics or a similar program.
* You have knowledge of modelling electrical networks and components (e.g. with MATLAB/Simulink, PowerFactory, etc.).
* You enjoy teamwork and the collaborative development of models for simulation environments.
* Ability to work independently, a passion for innovation, and a desire to learn and enhance your profile.
* Ideally, you have experience with the operation of photovoltaic power converter systems and the construction of ground-mounted PV systems.
Unser Angebot:
Das DLR steht für Vielfalt, Wertschätzung und Gleichstellung aller Menschen. Wir fördern eigenverantwortliches Arbeiten und die individuelle Weiterentwicklung unserer Mitarbeitenden im persönlichen und beruflichen Umfeld. Dafür stehen Ihnen unsere zahlreichen Fort- und Weiterbildungsmöglichkeiten zur Verfügung. Chancengerechtigkeit ist uns ein besonderes Anliegen, wir möchten daher insbesondere den Anteil von Frauen in der Wissenschaft und Führung erhöhen. Bewerbungen schwerbehinderter Menschen bevorzugen wir bei fachlicher Eignung.
Weitere Angaben:
* Eintrittsdatum: 01.11.2024
* Dauer: up to 1 year
* Vergütung: Je nach Qualifikation und Aufgabenübertragung bis Entgeltgruppe 5 TVöD.
* Kennziffer: 96554