Master Thesis / Internship (Electro-thermal transformer modelling for EV charging impact assessment)
Electrification Suite & Test Lab
22 November 2019
Open until filled
Project Title: Electro-thermal transformer modelling for EV charging impact assessment
About TUMCREATE TUMCREATE is a research platform for the improvement of Singapore's public transportation, including the deployment of electric and autonomous mobility. Researchers from Technical University Munich and Nanyang Technological University join forces and are funded by Singapore’s National Research Foundation as part of the Campus for Research Excellence and Technological Enterprise (CREATE).
In TUMCREATE, over 100 scientists, researchers and engineers work together, led by Professors from the Technical University of Munich and Nanyang Technological University. The Mission of TUMCREATE is to seek the ultimate public transport system for the people of Singapore. Our innovative road transport solutions will provide high comfort and a positive travel experience, best protection of the environment and maximum benefit to the society and the economy.
ESTL at TUMCREATE puts an emphasis on the interaction of the electricity grid with advanced electrified public transport systems for Singapore. Ranging from charging infrastructure optimisation to demand side management and integration of renewable energies, ESTL covers many hierarchy levels of the electrification concept in the context of the major goals of TUMCREATE.
A research project has been established to investigate the impact of electric vehicle (EV) charging in the electric distribution grid in Singapore. The flexible distribution grid demonstrator (FLEDGE) is being developed to investigate the EV charging demand and formulate optimal operation strategies.
Objective and Tasks
The goal of this thesis is to develop electro-thermal models of transformers for assessing the impact of EV charging and extending optimal power flow formulations. The main tasks are:
Formulate a mathematical model for the electro-thermal transformer dynamics.
Derive an optimal power flow problem considering the operation limits of the transformer.
For a test case in Singapore, investigate the impact of EV charging in terms of electro-thermal transformer dynamics and evaluate the impact of considering transformer operation limits in the optimal power flow problem.
What we expect from you
Basic understanding of power system modelling & numerical optimization / optimal power flow
Experience with either Python, Julia or MATLAB is an advantage
Reliable, independent & scientific working style
Excellent interpersonal skills and communication skills in both written and spoken English and ability to work with people from different backgrounds and cultures
What we offer you
Exposure to the state of the art research topics
An international and multidisciplinary working environment
Work with researchers from world-renowned universities
Opportunity for publishing in international journals and conferences
Multicultural and dynamic working atmosphere
Enquiries and How to Apply
Please send your complete application including cover letter, CV, university transcripts and degree certificates to email@example.com or firstname.lastname@example.org.