Wissenschaftliche/r Mitarbeiter/in im Bereich "Control of energy management systems and ancillary services" (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
The control of Energy Management Systems (EMS) and ancillary services are integral components of modern energy infrastructure. EMS, encompassing real-time data acquisition, optimization, and grid management, serves as the cornerstone for efficient energy utilization and grid reliability. In parallel, ancillary services, including frequency regulation and voltage control, are crucial for maintaining system stability. The consistent synergy between EMS and ancillary services is achieved through modern control strategies that ensure grid stability, optimal resource allocation, compliance with grid standards, smart market participation, and integration of distributed energy resources.
Furthermore, the control of EMS and the provision of ancillary services have far-reaching implications for energy sustainability. As the world shifts towards cleaner energy sources, such as wind and solar, the role of EMS in efficiently harnessing these renewable resources becomes important. The ability of EMS to adapt to fluctuating renewable energy generation and integrate it into the grid is essential for reducing carbon emissions and mitigating climate change. Simultaneously, ancillary services, with their focus on grid stability, act as a safety net, ensuring that the transition to a more sustainable energy future remains secure. Together, EMS and ancillary services not only enhance the reliability of our power systems but also play a vital role in steering our energy landscape towards a greener and more sustainable future. Control of EMSs are essential for maintaining the reliability and efficiency of energy systems while facilitating the integration of renewable energy sources and meeting the growing demand for ancillary services in modern power grids.
Task Description
The research compiles from the following list of tasks:
- Develop mathematical models of energy management systems and ancillary service components.
- Design control algorithms that optimize the operation of energy management systems, ensuring efficient energy utilization and grid stability.
- Utilize optimization techniques to maximize the use of renewable energy sources, minimize energy losses, and optimize the allocation of resources for ancillary services.
- Implement real-time monitoring systems to continuously assess grid conditions, including voltage, frequency, and load, and use this data to make control decisions.
- Develop control strategies for the integration of Distributed Energy Resources (DERs) like solar panels, wind turbines, and energy storage systems into the grid.
- Create control strategies that allow energy management systems to participate in energy markets, offering ancillary services such as frequency regulation.
- Conduct testing and simulation studies to evaluate the performance of control algorithms and systems that are developed for power grid including Hardware-in-the-Loop (HIL) and Power Hardware-in-the-Loop (Power HIL) simulation.
Qualification
- A master or PhD degree in control engineering, power systems, electrical engineering for conducting independent research and leading projects.
- In-depth knowledge of power system engineering, including power generation, transmission, distribution, and grid operations.
- Strong background in control theory, including control system design, optimization, and real-time control strategies.
- Experience with software tools such as MATLAB, Simulink, or, preferably, software used in power system analysis such as DIgSILENT.
- Strong analytical and problem-solving skills to address complex issues related to power systems and energy management.
- 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
Ancillary Services
Demand Response
Control of energy management systems
Model predictive control
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