Research Associate in "Control of energy management systems and ancillary services" (m/w/d)
Contributed by: Naim Bajcinca, mec-apps@mv.uni-kl.de
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.
Application procedure and deadline:
Applications must include the following elements (as a single PDF file):
- Cover letter with a brief description of why you want to pursue research studies, about what your academic interests are, and how they relate to your previous studies and future goals
- CV including your relevant professional experience and knowledge
- Copies of diplomas and grades from previous university studies
- Two references
- List of publications
Send an email with the required documents to the address: @mec-apps@mv.uni-kl.de. We will process your application as soon as received. The application deadline is 15. April 2024.
For more information, visit our webpage: https://mv.rptu.de/fgs/mec/research