Disruptive innovations are needed in managing and operating distribution grids. Are you our next PhD researchers in exploring disruptive innovations in managing and operating distribution grids?
Position
PhD-student
Irène Curie Fellowship
No
Department(s)
Electrical Engineering
Institutes and others
EIRES - Eindhoven Institute for Renewable Energy Systems, EAISI - Eindhoven Artificial Intelligence Systems Institute
FTE
1,0
Date off
29/09/2024
Reference number
V36.7700
Job descriptionThe role of the distribution system operator (DSO) is changing from a passive maintainer of electricity networks to an active coordinator in the edge of the energy system. At the same time, customers become enabled to change from passive energy users to active participants in the local electricity system. Maintaining privacy and grid (cyber) security levels are part of the challenge to face.
A digital transformation at the edge of the distribution grid and at connected customers is unfolding. This opens possibilities for deploying distributed intelligence to enable smart network operations by collecting and processing data while preserving high levels of privacy for the customers. Exploring AI models for smart System Operation (AISO) is a collaboration project in which DSO Alliander will work together with the TU/e departments of Electrical Engineering (Electrical Energy Systems group) and Mathematics & Computer Science (Interconnected Resource-aware Intelligent Systems, and Stochastic Operations Research) to realize these innovations.
The project will be part of the TU/e's Eindhoven AI Systems Institute (EAISI) and Eindhoven Institute for Renewable Energy Systems (EIRES) programs and therefore share, learn, and disseminate within the EAISI and EIRES communities and through the TU/e master programs Data Science and AI, Medical Engineering and AI Engineering Systems, and educational activities from the TU/e Electrical Energy Systems group and Math & Computer Science department.
If you are eager to work with a multi-disciplinary team focusing on AI-driven applications to support the DSO then this is the right position for you.
Job Description
The project focuses on synthetical data generation, AI-driven state estimation, stochastic modelling and reliability assessment, and grid-edge optimal solutions. These models will be combined with the AI-driven state estimations to enhance network observability and grid monitoring. Additionally, integration with the stochastic modelling and reliability assessment process will provide valuable insights into the impact of uncertainties on grid reliability. Finally, in conjunction with the developed edge intelligence, these advancements will enable optimal solutions for the electricity grids in the Netherlands and e.g. the rest of Europe, while maintaining user privacy.
The research results will be immediately utilized by Alliander for congestion estimation and flexibility procurement. To achieve this, it is part of this project that all the developed (AI-driven) models and algorithms are also implemented in production-ready open-source packages.
One of the main research tracks (RTs) of AISO is as follows:
RT1: PhD on Synthetical data generation using multivariate models
This research will focus on a scalable approach by using multivariate models to capture uncertainties in spatial-temporal correlations. It is expected to combine both top-down and bottom-up approaches into a scalable and stable solution. More specifically, the research will include:
See for the other reseach track below:
PhD3 / RT3: Stochastic modelling and reliability assessment.
Job requirementsA meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
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.
Curious to hear more about what it's like as a PhD at TU/e? You can navigate here.
Information
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager, Phuong Nguyen, associate professor, [email protected] or +31 40 247 5830.
Visit our website for more information about the application process or the conditions of employment. You can also contact [email protected].
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
Application
We invite you to submit a complete application by using the apply button. The application should include a:
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.