Abstract:.Considering the existence of forecasting error of PV output and user electricity consumption, a user-side multi-resource complementary synergistic energy optimization strategy in multiple time scales is proposed in the paper. Firstly, scheduling resources are separately modeled including photovoltaic output, demand response resource and electric vehicle. Secondly, a multi-time scale collaborative energy optimization strategy model is built. In day-ahead period, the collaborative power management model for user’s multi-resource scheduling is built with objection of the minimum user''s electricity cost. Meanwhile, user’s comfort is introduced into the constraints to develop a pre-optimization plan. In the real-time period, according to the PV output and power consumption data updated every 4h, real-time feedback correction is made to the current plan to further improve the user''s electricity economy. Finally, an industrial large user is selected as simulation case. Based on the high efficiency of the CPLEX solver, the optimal electricity consumption plan for the user-side resource is obtained. In addition, user benefits under different power consumption strategies were compared to verify the effectiveness of the model.