can respond to system control signals quickly. An aggregated control strategy of air conditioning load based on improved state-space model is proposed. By extending the state-space length
the improved state-space model with high-accuracy is established to track the aggregated characteristics of uncontrolled air conditioning load. Then
an aggregated control model that takes into account temperature control signals is proposed to track the dynamic collective behavior of the air conditioning load. Finally
an optimal temperature control strategy is proposed to implement the power adjustment of air conditioning load. Simulation results are demonstrated to verify the improved state space model
the aggregated control model and the optimal temperature control strategy.