The goal of this project is to develop models to understand the interaction of parties involved in future electricity markets and distribution (smart) grids. The models will be used to design distributed mechanisms to regulate and exploit the grid’s full potential, coping with its intrinsic uncertainties, physical dynamics, and characteristic limitations.
In particular, we intend to study how fundamental changes in network conditions, including the large-scale emergence of so-called prosumers, call for regulation or control schemes to achieve or approximate efficient outcomes. Rather than classifying uncertainties by type (behavioral, physical, technological), we classify uncertainties by time scales, as has been fruitfully done in communication networks, climate models, etc. Probabilistic model reduction techniques provide insights into questions relevant for the design of effective regulation and optimization mechanisms.
|Supervisors||Rudesindo Nunez-Queija (UvA), Sem Borst (TU/e), Bert Zwart (CWI)|
|PhD Student||Fiona Sloothaak|
|Location||Eindhoven University of Technology (TU/e)|