NARI School of Electrical Engineering and Automation, Nanjing Normal University, Nanjing 210023, China

Air conditioning load (ACL) is one of the most potential demand response (DR) resources. However, due to the diversity of the building environment and the users’ preference, heterogeneity is a key characteristic of ACL. Modeling without considering real application is negative for deriving the aggregate power and actual potential of ACL. A real centralized ACL control system is developed based on real applications. With the support of the hardware system, parameter identification method considering time-varying characteristic of the second-order equivalent thermal parameter (ETP) model is proposed for ACL. The parameters of the second-order ETP model is derived by minimizing the error between the simulated temperature and actual temperature, and at the same time considering the time-varying characteristic of the parameters. The results show that the proposed method can derive accurate second order ETP model for ACL.

This work is supported by National Natural Science Foundation of China (No. 51707099).