To achieve the objectives of the Climate Agreement there is a need to rapidly increase the amount of energy that comes from solar and wind farms. In the Netherlands, there is significant interest in relevant investments. However, the lack of grid capacity in the medium voltage grid hinders the realization of new projects. Given the significant lead times and cost of medium voltage grid reinforcement, mobilizing flexibility that is available at the edges of the power system to increase the hosting capacity of the existing network by preventing or minimizing congestion is imperative.
To address this challenge, you will work with a consortium of industry and academic partners who aim to develop and validate scalable optimization and control techniques to exploit distributed energy storage assets located at the low voltage grid (residential and agricultural end-users) in order to resolve congestion issues at the medium voltage grid level and enable the seamless connection of large-scale solar and wind farms. In particular, you will explore the use of machine learning techniques in conjunction with mathematical programming to accelerate the solution of large-scale combinatorial optimization problems that are used to price and specify the parameters of congestion management instruments.
Your tasks will include:
You will primarily contribute to Intelligent Energy Systems research activities of the Electrical Energy Systems group. Besides research you will also have the opportunity to contribute to education within the department.
You must possess a comprehensive knowledge of power systems and/or electricity markets. You must have a proven ability to develop and apply quantitative decision-making methods (e.g., mathematical programming or data-driven/AI approaches), as evidenced by a relevant PhD thesis or publications. Furthermore, familiarity with topics such as congestion management, flexibility provision, energy management, energy communities, mathematical decomposition methods, distributed optimization techniques is highly desirable.
About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Do you recognize yourself in this profile and would you like to know more? Please contact dr. Nikolaos Paterakis, Assistant Professor, n.paterakis@tue.nl.
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Application
We invite you to submit a complete application using the apply-button.
The application should include a:
Please note that you can upload 1 document of 10 Mb so if you have more than 1 document you will have to combine them.
Selected candidates may be invited first for an online interview and then for onsite visits to TU/e. The position is available immediately and the selected candidate is expected to start no later than September 2024.
We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.
Applications by e-mail are not accepted!