With the wide application of intelligent home appliances and the development of load monitoring technology, the optimal scheduling of household controllable load has become an important research content of virtual power plant. Considering the economy and comfort of household electricity consumption, a multiobjective electricity consumption model is proposed, which comprehensively considers the correlation of household electricity load,comfort of electricity consumption and satisfaction with the payment of electricity. According to the load characteristics, the mathematical models of rigid load and flexible load and their constraint conditions are established. The load usage correlation matrix is introduced to adjust the parameters of load running time, and a multiobjective power consumption model is established, which considers the user’s comfort level and the satisfaction degree of electricity expense, and the genetic algorithm is used to solve the model. The results show that the optimization strategy can effectively meet the customer’s electricity comfort and reduce the electricity economy.