Virtual Battery Modeling of Air Conditioning Loads in the Presence of Unknown Heat Disturbances

Air conditioning loads (ACLs) are potential flexible resources that can provide various grid services to the power system. Recent studies have attempted represent their flexibility using a virtual battery (VB) model for quantification, but modeling process requires information on thermal parameters and heat disturbances (e.g., solar irradiation internal load) difficult measure. In this paper, we present new method models VB without prior knowledge of such information. First, construct dynamic an individual ACL historical input-output data. The linear regression identified measurements disturbances. Second, derive from change variable technique. We show be directly modeled dynamics estimating exact Third, aggregation is implemented. energy limits aggregate designed considering baseline load prediction error caused by disturbance uncertainty. Finally, simulation results verify accuracy effectiveness proposed strategy.