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).
TUMCREATE is made up of over 100 scientists, researchers and engineers 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.
More Information about TUMCREATE can be found by viewing our web pages at http://www.tum-create.edu.sg/
About This Position
The research group Electrification Suite & Test Lab (ESTL) in 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 model, implement and analyse smart grid applications in the modern power distribution system. The high share of renewable energy generation, the switch to EVs and the introduction of storage technologies give way for a transition towards the smart grid concept. The focus is to investigate strategies for optimal grid planning and operation, together with optimal charging strategies for public transportation and private vehicles.
Objectives & Tasks
The goal of this master thesis / internship is to investigate, implement and analyse multiple power flow models used in various smart grid applications. The aim is to identify the performance, accuracy and the best suited application of the analysed models. The main tasks are
1. To identify multiple convex power flow models widely used in the literature.
2. To implement the proposed power flow models in a modelling/programming software.
3. To analyse the results when implemented on given applications.
Requirements
- Good knowledge of power systems
- Experience with power system analysis
- Ideally: Skills in convex optimisation
- 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
- Financial support
- Exposure to the state of the art research topics
- An international and multidisciplinary working environment
- Guidance by researchers from world-renowned universities
- Opportunity for publishing in international journals and conferences
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Master Thesis / Internship: Power Flow Modelling For The Smart Grid - Profession:
Engineering