In recent years

the rapid growth of air-conditioning load has become the main reason for seasonal power shortage. Using air-conditioning demand response strategies to adjust air-conditioning load is of great significance for achieving grid peak reduction and valley filling. Taking the air conditioning system in the form of fan coil units and fresh air as the object

the TRNSYS simulation model is established. Based on the time-of-use electricity price policy

the temperature reset demand response strategy is studied

and the refrigeration zone temperature and the thermal comfort index are two strategies which aim to compare the peak load reduction during the demand response period and the overall system operating costs. The results show that the peak load transfer rate of the demand response strategy based on temperature reset is about 30.3%

and the peak load transfer rate of the demand response strategy based on the thermal comfort index control is about 22.7%. However

two strategies cannot save electricity bills. Therefore

in addition to the preferential policies for time-of-use electricity prices

corresponding incentives must be given.