Defence of dissertation in the field of Information Technology in Automation, M. Sc. (Tech.) Olli Kilkki
The increasing amount of unpredictable renewable generation leads to a need for flexibility also on the consumption side of electricity. Residential consumers, especially with energy storages such as water heaters and batteries, could shift and curtail their energy consumption. However, in order to provide suitable changes to the consumption profiles of the consumers, appropriate methods for planning, control and incentives are being developed.
This thesis presents several developed optimization methods for the purposes of for example an aggregating retailer to aggregate multiple mostly independently acting consumers for diverse market participation. It was simulated how the flexibility of direct heating and energy storages could be used for day-ahead electricity market participation and then be controlled.
Opponent: Professor Alex Huang, University of Texas at Austin, USA
Custos: Professor Valeriy Vyatkin, Aalto University School of Electrical Engineering, Department of Electrical Engineering and Automation.