At the end of the course the student:
- can conduct scientific research following the scientific methods and standards within the field of smart grids
- can manually apply the discussed concepts, (DEM) algorithms, models and methods to small cases
- can apply and combine the discussed research within a small research project in a way that leads to new understanding and/or methods
- can analyse data from experiments for presentation in a research paper
- can report the research findings in an IEEE format paper within the given page limit
- can present their research within the given time
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In the last years the use of ICT to improve the energy efficiency of other systems has come into the picture. This course gives an introduction in such a usage of ICT systems that employ Distributed Energy Management (DEM) within our energy/electricity grid.
The primary purpose of this course is to give an introduction to smart grids, DEM, and their challenges: the management approach should scale, must be device agnostic, must be reliable in case of ICT failure, etc. The course introduces smart grid models (e.g., the topology and restrictions of various energy networks), DEM methodologies (e.g., Triana and bidding functions) and mathematical optimization (DEM) algorithms and heuristics for DEM (e.g., profile steering and resource allocation algorithms). This leads to the second goal of this course. Based on the given introduction of the topic in the first part of the course, students do a small collaborative research project, which covers all relevant issues of a research project (project definition, finding related literature, formulating a hypothesis, proving this by a prototype or simulation, writing a paper and giving a presentation).
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