Due to the situation that the integrated optimization configurations of electric and thermal energy storage are not given full consideration in the Integrated Energy System (IES) near user side under the background of smart city, a model which can deploy electric and thermal energy storage equipments synthetically is established based on energy supply and demand balance, considering electric power alternative and combined cooling heating and power. In this paper, some typical scenes are obtained with the researches on the users’ energy demand through the K-Means clustering algorithm. The optimization and allocation of energy storage devices are considered along with the optimized dispatch of IES in a typical day. A comprehensive configuration optimization model of electric/thermal energy storage can be established based on the minimum annual operating cost of the IES. The constraints consider the balance of supply and demand, cold/thermal/electric coupling, power substitution, equipment installation and operation, etc. The optimal variables conclude the capacity of the power/thermal energy storage device and the equipment dispatch value in the typical scene of the system. The simulation results indicate that the strategy is reasonable and feasible which has obvious economical efficiency on the basis of ensuring the system’s safety and reliability. Considering power substitution is not only beneficial to environmental protection, but also can reduce the cost of energy storage allocation. This work is supported by Science and Technology Project of the Headquarter of State Grid Corporation of China (No. SGTJDKOODWJS1700027).