Flexible load can optimize the load curve

which is an important means to promote renewable energy consumption. The peculiarities of electricity

heat

cooling and gas loads are analyzed in this paper

considering the fuzzy degree of human perception for water temperature

and the characteristic model of hot water load is established. Considering the fuzzy degree of human perception of ambient temperature

the characteristic model of cooling load is established by using PMV and PPD index. Meanwhile

considering four combinations of cut load

translatable load

transferable load and alternative load

and considering the coupling relationship of composite parts

different response models of load are established respectively. With the minimum cost of the system

including operation and compensation costs as the objective function

the optimization scheduling model of the regional integrated energy system is established

and the Gurobi solver is used for simulation analysis to solve the optimal output and load response curve of each piece of equipment. The results show that the load curve can be optimized

the flexible regulation ability of the regional integrated energy system can be enhanced

the energy loss of the system can be reduced

and the wind power consumption ability of the system can be increased by considering the integrated demand response.