Firstly

the probability distribution characteristics of demand response resources are expounded. The IES（integrated energy system）operating cost is taken as the optimization goal and the power system

natural gas system operation constraints and energy coupling constraints are considered. The IES optimal energy flow（OFF）model is established

which is used as the input of the power system stability estimator to calculate the generator and coupling link power. Secondly

by setting up the transient simulation model under different load levels

the system stability under fault conditions is obtained. The training of power system stability estimator based on stack denoising auto-encoders（SDAE）is proposed. Finally

the IES comprised of the IEEE?39 node power system and the modified Belgian 20?node natural gas system is used to analyze the intelligent evaluation of power system stability. The simulation results show that the SDAE-based power system stability estimator has high recognition accuracy and excellent computational efficiency.