Abstract: Aiming at the problem of selecting the alkaline water electrolyzers standby state, an optimization strategy for energy management of wind-solar hydrogen generation system based on alkaline water electrolyzers state recognition was proposed. The composition of hydrogen production system was determined, and the system module model was established, including wind power, photoelectric, energy storage battery and electrolytic cell module. The absorption rate of wind-solar power generation and the profit ratio of hydrogen sales were determined as the objectives, and the constraints of system operation were determined. SPEA2 and GA combined algorithm were used to solve multi-objective and multi-decision variables at the same time. Then, combined with the weather forecast data and power grid data, the cold or hot standby state of the electrolyzer was determined by the energy management optimization strategy. Finally, a practical example was used to demonstrate the feasibility of the optimization strategy. The results of the example show that the energy management optimization strategy can accurately identify the cold or hot standby state of alkaline water electrolyzers, and can use the cold standby state to save the system energy, reasonably distribute the power in the system, and improve the system revenue.