Load prediction and modal analysis of flexible load are important contents of building a renewable energy power system. In this paper

the load of building air conditioning and electric vehicle is taken as the research object

and a spatiotemporal distribution prediction model of heterogeneous flexible loads considering different spatiotemporal characteristics is proposed

and the heterogeneous flexible load mode is analyzed.Firstly

based on the operation mode of load aggregators

a hierarchical physical architecture of a high-proportion renewable energy power system is constructed.Secondly

combined with the concept of travel chain

the spatiotemporal states of heterogeneous flexible load is established

the heterogeneous flexible load and its influencing factors are modeled and studied

and the load change curve is calculated by Monte Carlo method.Finally

the transportation network diagram is established based on the actual data of a specific city

and the simulation and calculation of heterogeneous flexible loads under different conditions are realized. The results show that the ambient temperature has a great influence on its load mode

and the heterogeneous flexible loads in winter and summer show obvious complementary characteristics. Heterogeneous flexible loads vary significantly across different charging areas

and electric vehicles show much higher regulation potential than building air conditioners.Users exhibit conservative charging behavior

which can better smooth out the fluctuation of heterogeneous flexible load charging load.