To solve the problem of rising peak-valley load difference, the paper proposes an optimized flexible load control algorithm for air-conditioned room, electric water heater, and electric vehicle respectively from the view of customers. Based on time-of-use price, the algorithm completes the dual-objective optimization control considering constraints of economic benefits and user comfort, and can be realized through intelligent user terminals. In the algorithm, traditional load models for air-conditioner room and water-heater are improved, the multivariable thermodynamic process is separated into several independent univariate sub-processes, the model parameters are obtained by parametric regression from history data, therefore, random parameters are reduced in the algorithm. Optimized control considering two main kinds of electric vehicles, grid to vehicle(G2V)and vehicle to grid(V2G)by the algorithm are also studied; particle swarm optimization(PSO)algorithm is used to solve the optimal results. Finally, simulation result on MATLAB shows the advantage of the algorithm at economic benefits, user experience, and load shifting effect.