Although the household distributed energy storage system can optimize energy utilization and improve the reliability of energy supply, behind this powerful capability, it also needs to bear a certain scale of costs. In order to compensate for its cost, this article proposes a method for developing intelligent electricity pricing strategies. This article also conducted a comparative experiment at the end. In the comparison between the intelligent electricity pricing strategy and the conventional electricity pricing strategy, the average monthly electricity consumption cost of the same enterprise was 19,728 yuan and 22,524 yuan, respectively. Based on the method proposed in this article, the enterprise is more able to save electricity costs. In the comparison between the electricity price strategy constructed through intelligent technology and the electricity price strategy formulated based on user response methods, the electricity consumption elasticity of the two is also very close. Therefore, this study found that the cost compensation of household distributed energy storage systems can be effectively achieved through intelligent electricity pricing strategies.