14. Context-aware stochastic modelling of CER aggregators in electricity markets
Chatum Sankalpa, Ghulam Mohy-ud-din, Erik Weyer, and Maria Vrakopoulou
- Department of Electrical and Electronic Engineering, University of Melbourne, Australia
Energy Systems, Energy, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Newcastle, Australia
Electrical and Computer Engineering, University of Cyprus, Cyprus
Context-aware stochastic modelling of CER aggregators in electricity markets
- Aggregators of consumer energy resources (CERs) face challenges due to their inherent uncertainties.
- Stochastic optimization handles such uncertainties, but can lead to infeasible problems or loss in revenues if not chosen appropriately.
- This work provides guidance for CER aggregators to select the best optimization method based on the context of the use case.