The high initial investment cost of energy storage equipment in the household energy system limits its practical application. Therefore, the capacity configuration of hybrid energy storage is studied to solve this problem. Firstly, the rigid load, flexible load and energy storage equipment load models were constructed respectively; on this basis, the household energy management system model aimed at the lowest daily electricity cost of users was built; finally, an improved artificial bee colony algorithm was proposed. Solve. Compared with the single energy storage system, the experimental results show that while meeting the user"s electricity demand, the home energy system equipped with hybrid energy storage can effectively reduce the user"s daily electricity cost. Using the algorithm in the article to compare the optimization results of artificial bee colony algorithm and particle swarm algorithm, it is proved that the proposed algorithm has short optimization time, fast convergence speed and is not easy to fall into local optimum.