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Thesis 'Parallel contingency analysis in dynamic security assessment of electricity grids'(m/w/x)

Fraunhofer-Gesellschaft
Kassel

You define an information model and design software architecture while researching and optimizing algorithms. Your role involves testing simulation models and documenting results to improve dynamic security assessment.

Anforderungen

  • •Master's degree in relevant field
  • •Extensive knowledge of programming language
  • •Understanding of electrical power systems
  • •Excellent command of English language
  • •Experience with version control and Docker is a plus

Deine Aufgaben

  • •Define an information model for contingencies.
  • •Design suitable software architecture.
  • •Research and implement relevant algorithms.
  • •Optimize and document algorithms.
  • •Perform tests on simulation models.
  • •Evaluate and document test results.

Deine Vorteile

Insight into applied research
Access to expert networks
Commitment to diversity and inclusion
Further employment options
Flexible working hours
Remote work option
Modern institute building

Original Beschreibung

City: Kassel Date: May 27, 2025 # Thesis "Parallel contingency analysis in dynamic security assessment of electricity grids" The Grid Control and Grid Dynamics group is a collaborative team comprising engineers, scientists, technical staff, and students dedicated to advancing the understanding and management of inverter-dominated power grids. Our focus includes investigating the stability and control mechanisms essential for these grids, conducting analyses and developing applications to enhance grid planning and operation, and exploring the integration of inverter-based units into existing grid infrastructures. Additionally, we create dynamic models of networks and units, engage in simulation and stability analysis, and perform Dynamic Security Assessment (DSA). We also innovate stabilizing methods and decision-support tools to assist system operators in maintaining grid reliability and performance. Together, we aim to contribute to the evolution of modern power systems through research and practical applications. **What you will do** Online DSA systems must analyze large numbers of contingencies using dynamic, time-domain simulations in the shortest time possible. To accomplish this, these simulations need to be massively parallelized. The objective of this thesis is to implement and evaluate different contingency parallelization approaches using our group's computational infrastructure. To this avail you will: * Define an information model for contingencies, for example, based on ENTSO-E's network code profiles * Design a suitable software architecture * Research, implement, optimize and document relevant algorithms * Perform tests on available simulation models * Evaluate and document the results **What you bring to the table** * You are close to completing a master's in electrical engineering, computer science or a comparable subject * You have extensive knowledge of at least one programming language * You understand the structure and operation of electrical power systems * You have excellent command of the English language * Ideally, you have experience with version control (e.g., Git), concurrency and parallelism, inter-process communication, and containerization (e.g., Docker). **What you can expect** * Insight into application-oriented research in the energy sector with direct relevance for industry and society * Access to expert networks in the energy industry and research * Commitment to the Diversity Charter - we actively promote diversity and inclusion in all areas * Option for further employment (e.g. as a research assistant or for a doctorate) * Flexible and individual adjustment of working hours to lecture and exam times as well as the option to work from home or in the modern institute building with New Work concept in a central location As part of the Master's thesis, you will also have the opportunity to work as a research assistant for a suitable number of hours (40 to 80 hours). The position is initially limited to 12 months, although we are looking for a longer-term collaboration. Exceptions for a shorter term are basic operational reasons, the personal wish of the student or the end of the degree programme. Remuneration according to the general works agreement for employing assistant staff. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. **Job Segment:** Research Assistant, Meteorologist, Electrical Engineering, Power Systems, Research, Science, Engineering, Energy
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