260149 EP丨A Comprehensive Simulation and Algorithm Evaluation Dataset for Large-Scale Heterogeneous HVAC Cluster Scheduling in Demand Response

Paper URL：jeit.ac.cn/cn/article/doi/10.11999/JEIT260149In order to meet the development needs of load side resource demand response in the new power system, and to address the lack of standardized and complex testing scenarios in existing large-scale HVAC cluster scheduling research, our team has constructed a high fidelity HVAC cluster simulation system based on an equivalent thermal parameter model, which includes complex factors such as multi-source thermal disturbances and upstream and downstream communication packet loss, and generated the experimental dataset for this simulation.

This dataset aims to simulate high-dimensional and nonlinear cluster control environments in real distribution networks. The data mainly includes the thermal and physical parameters of large-scale heterogeneous air conditioning nodes, multi-level user comfort preference setting intervals, and corresponding rigid peak shaving and valley filling scheduling instruction sequences and environmental temperature random disturbance sequences.