IEK-10 focuses on the optimal design and operation of integrated, decentralized energy systems with a high share of renewable energy. Computer simulation and numerical optimization are our essential tools to arrive at efficient, reliable, and cost-effective solutions. We contribute both to the development of mathematical models and to the development of improved simulation methods and optimization algorithms. Our methods and software-tools are validated against operating data of real systems. Furthermore, we conduct comprehensive case studies in order to test and further improve the scalability and the performance of our models and algorithms. Specially adapted methods and codes enable us to exploit the potential of high-performance computing with the aim of solving particularly large and complex problems.
Scope of the Thesis
The large size of modern power systems leads to an increasing computational burden for the real-time simulation, which is an important tool to investigate the dynamic behaviour and stability of the power grid. The increasing computational burden requires new concepts and control algorithms to maintain the simulation timestep below a certain limit. One common method is the partial reduction of the power grid by a reduced order model, while maintaining the characteristic behaviour of the system. Your goal will be the development of a method aimed at the model order reduction of the power system while maintaining the dynamic behaviour of the original system.
Your Profile
- Very good background in Electrical Engineering, Energy Technology, Computer Science, Physics or other related subject
- Interests and basic understanding in numerical methods and analysis, energy system modelling and simulation
- Independent and analytical working style within a project team
- Good knowledge of and some experience in a programming language (MATLAB, Python or C/C++)
- Experience with RTDS or Opal-RT is of advantage
- Fluent in English (spoken and written)
Our Profile
- Highly motivated scientists of different subject areas working together
- Interdisciplinary work combining physics, mathematics, computer science, and engineering
- Intensive supervision by one or more experienced and helpful colleague(s)
- Friendly and welcoming work environment
There is a financial expense allowance and, due to the SARS-CoV-2 regulations, work is done in home office if possible. All necessary equipment (computers etc.) is provided.
We are committed to equality and diversity and welcome applications from everyone! If you are interested, please send us your complete application.
Contact:
Philipp Glücker
Forschungszentrum Jülich GmbH
Institut für Energie- und Klimaforschung – Modellierung von Energiesystemen (IEK-10)
52425 Jülich
E-Mail: p.gluecker@fz-juelich.de