Aggregation Modeling and Power Characteristics Analysis of Temperature Controlled Load Based on Improved State Space

As an important demand response resource, the air conditioning load can realize the rapid response of the system control signal. In turn, it plays an important role in peak-shaving or valley-filling and suppressing new energy fluctuations. It is of great significance for power grid dispatching to establish a model which can describe the characteristics of load group aggregation. In this paper, an accurate polymerization model is established by Monte Carlo simulation. Then, aiming at the problem of low precision of the existing state space aggregation model, an improved state space aggregation control model is proposed to effectively improve the simulation accuracy. The simulation results verify the feasibility of air conditioning load to provide reserve capacity and the validity of the improved state space model. Finally, the influence of different control strategies on the aggregated power is analyzed, and the phenomenon of “shock power” when the temperature setting value is changed is effectively solved by group control.