In order to further reduce the load pressure during peak and valley periods in the integrated energy system

improve the low-carbon economy of system operation

and reduce system operation risks

the differences in demand response of different loads and the uncertainty of demand response are considered. The uncertainty of demand response is fuzzily processed

and a low-carbon economic dispatch model for the integrated energy system considering the uncertainty of differentiated demand response is established. Firstly

differentiate pricing for different types of loads and use a tiered carbon emission cost model to constrain carbon emissions. On this basis

a planning model is established with the goal of minimizing the total operating cost of the system

including the operation and maintenance cost

energy sales revenue

and carbon emission cost. Then

the squirrel algorithm is improved and solved using the chaotic squirrel optimization algorithm. Through actual case analysis

the results show that considering the uncertainty of differentiated demand response can improve system reliability

smooth the load curve

and improve the low-carbon economy of the system. This verifies the effectiveness of the established scheduling model

and the data also shows that the chaotic squirrel algorithm has better optimization ability.