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 Master Thesis:
Due to the large size of modern power networks, the computational burden of their real-time simulations is increasing, leading to always more challenging simulations. In order to be able to maintain the simulation timestep below a certain limit, dedicated parallelization solutions are needed. The real-time simulator OPAL-RT provides a parallelization method, called SSN block, to decouple sections of the network that will be simulated separately. The optimal placement of these blocks, and thus the parallelization, must be carried out by considering graph theory aspects and clustering techniques such as centrality measures. As part of a collaboration with OPAL-RT, your goal will be the development of a technique aimed at the parallelization of the simulation through the automatic placement of SSN-blocks.
- You are a student with very good background in Mathematics, Physics, Mechanical Engineering, Electrical Engineering, or a comparable subject
- Interests in numerical methods and analysis, and energy system modelling and simulation
- Basic understanding of energy system modelling and real-time simulation is preferable
- Good knowledge of and some experience in a programming language, preferably MATLAB, Simulink, and RT-LAB.
- Fluent in English (spoken and written)
- 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
Forschungszentrum Jülich GmbH
Institut für Energie- und Klimaforschung - Modellierung von Energiesystemen (IEK-10)
E-Mail: [email protected]
More Information about our institute: https://www.fz-juelich.de/iek/iek-10/EN