With the wide application of intelligent household appliances

the optimization of electricity behavior has become an important content of household intelligent electricity. Multi-objective optimization model in the environment of intelligent electricity is proposed from the two aspects of economy and comfort. Firstly

the load characteristics of the domestic consumer are analyzed and the operating constraints of the interruptible and transferable electrical appliances are defined. Then

considering the constraint conditions such as household electrical load and electricity consumption habit

the correlation minimization electricity expenditure model of household appliances and the comfort model of electricity consumption are designed to realize the multi-objective optimization. Finally

continuous search multi-objective particle swarm algorithm is proposed to solve the optimization model. The analysis of the example shows that the multi-objective optimization model can effectively reduce the cost of electricity and improve the comfort of electricity use.