Wissenschaftliche/r Mitarbeiter/in im Bereich "Real-time control of power systems and validation on PowerHIL" (m/w/d)
About us
The chair of Prof. Bajcinca focuses on research of modern methods and advanced applications of control and system theory, involving three main pillars: cyber-physical systems, complex dynamical systems and machine learning. Through networking with a large number of national and international research, academic and industrial partners, funding projects with exotic and highly interesting tasks regarding model-based and data-driven control have been acquired on a regular basis. The research work is supported with an excellent laboratory equipment and high-performance computation in the areas of autonomous systems, robotics and energy systems, which is continuously being further developed.
https://www.mv.uni-kl.de/mec/home.
Research Framework
Research in the domain of real-time control of power systems with validation on Power Hardware-in-the-Loop (PowerHIL) has gained significant traction in recent years, driven by the need for more resilient and efficient electrical grids. PowerHIL is a crucial testing and validation tool that enables researchers and engineers to simulate, emulate and evaluate the performance of power system control strategies in a controlled and realistic environment. This approach allows for the testing of advanced control algorithms on the signal and power level, fault detection, and protection schemes without risking damage to actual power infrastructure. Researchers are utilizing PowerHIL to validate and optimize control algorithms for various aspects of power systems, including voltage and frequency regulation, load balancing, and grid stability. This research is crucial for ensuring the reliable and secure operation of modern power grids, especially as they incorporate renewable energy sources and distributed generation, which introduce new challenges and complexities.
One of the key focuses of research in this domain is developing real-time control strategies that can respond dynamically to changing grid conditions and disturbances. This involves the integration of advanced sensors, communication networks, and data analytics to provide real-time information about the state of the grid. By combining these technologies with PowerHIL validation, researchers can assess the effectiveness of control strategies in ensuring grid stability, reducing energy losses, and minimizing downtime during faults. Ultimately, this research contributes to the development of smarter and more resilient power systems that can better accommodate the increasing demands of our modern, interconnected world while enhancing the integration of renewable energy sources, which are vital for reducing carbon emissions and combating climate change.
Task Description
- Collaborate with research teams to design, implement, and optimize real-time control algorithms for power systems. This involves coding in programming languages like Matlab, C/C++, Python, or specialized power system simulation software.
- Develop experimental plans and methodologies for testing and validating real-time control algorithms on PowerHIL platforms. This includes defining test scenarios, selecting appropriate hardware and software components, and establishing data collection procedures.
- Create and maintain accurate models of power systems and components for simulation on PowerHIL platforms, and ensure that these models accurately represent the behavior of real-world power systems.
- Execute experiments on PowerHIL platforms to validate control algorithms under different operating conditions, disturbances, and fault scenarios. Evaluate the robustness and performance of the control strategies.
- Assist in the preparation of research grant proposals by providing technical input and supporting documentation related to PowerHIL testing and control research.
- Execute experiments on PowerHIL platforms to validate control algorithms under different operating conditions, disturbances, and fault scenarios. Evaluate the robustness and performance of the control strategies.
Qualification
- A master's or Ph.D. degree in electrical engineering, power systems engineering, control systems engineering, or a related field. Ph.D. candidates may be preferred for more advanced research roles.
- Strong programming skills in languages like Matlab, C/C++, Python, or similar languages used for control algorithm development and implementation.
- Knowledge of real-time simulation platforms (dSPACE, Opal-RT), including PowerHIL systems or other hardware-in-the-loop testing environments.
- Familiarity with power system control theory, grid operation, and relevant industry standards.
- Good understanding of digital signal processing and control algorithms.
- Prior experience in conducting research related to real-time control of power systems or hardware-in-the-loop testing is highly desirable.
- Strong analytical and problem-solving skills to design experiments, collect data, and analyze results.
- Strong organizational skills and the ability to manage research projects, including experimental design, data collection, and project timelines.
- Proficiency in English or / and German is essential
- Highly motivated, eager to work within a team or independently.
We offer
- Payment according to TV-L E13 with an initial one-year time limit
- The possibility to do a PhD and to teach is given in case of scientific aptitude
- TUK strongly encourages qualified female academics to apply
- Severely disabled persons will be given preference in the case of appropriate suitability (please enclose proof)
- Electronic application is preferred. Please attach only one coherent PDF.
You can expect an interesting, diversified and responsible task within a young, highly motivated and interdisciplinary team of a growing chair with great personal creativity freedom.
Contact
Prof. Dr.-Ing. Naim Bajcinca
Phone: +49 (0)631/205-3230
Mobile: +49 (0)172/614-8209
Fax: +49 (0)631/205-4201
Email: mec-apps(at)mv.uni-kl.de
Keywords
Power System Control
Real-time Validation
PowerHIL Testing
Energy Management
Application Papers
Cover Letter
CV
University Certificates
References
List of Publications
Application Deadline
15. April 2024
We will process your application as soon as received.
Job Availability
Immediate