To reduce greenhouse-gas emissions in the power industry, renewable energy resources are widely advocated in the power system.
However, these intermittent energy resources bring challenges to the power system operation due to their intrinsic uncertainty. On the other hand, new loads are introduced into the system,
such as electric vehicles and heat pumps, which may be managed actively by intelligent control schemes. Meanwhile, we observe that, in contrast to conventional controllable generation, a) demand side resources cannot continuously be activated (limited energy flexibility), b) these resources require much shorter planning and reservation periods, as they follow other use patterns.
This project applies linear decision rules-based (LDR) control policies which are centrally computed using a robust optimization approach that takes into account both the covariance of historic imbalance signals and the operational flexibility of ancillary service providers. The concept has been demonstrated to work effectively in the research, however, there are still several questions that needs to be answered which will be the focus of this PostDoc project: 1) On which time resolution, the policies needs to be calculated; 2) How to apply the calculated policies into real-time operation.
Supported by the European FP7 funded IRP project
ELECTRA | to be completed September 2017.