2018 Volume 138 Issue 6 Pages 538-545
The possibility of applying fast automated demand response (FastADR) aggregation for office building air-conditioning facilities to the ancillary service participation qualification test of an existing smart grid operator has been studied. Our original time-shifted state space model for the target facility was system-identified through autoregressive modeling using the time-series data of an actual office building. Simulation experiments were carried out to evaluate the ability to track the PJM balancing test signal. The simulation experiments have shown that enlarged FastADR commands are necessary to pass the test as well as to forecast the trade-off room temperature deterioration using such a state space expression model. Our state space model has made it possible for an aggregator to predict the FastADR negawatt transient response along with the room temperature change and decide the appropriate power limitation command values.