为解决风能间歇性和波动性对系统经济性、可靠性的影响，提出了一种含有储能电池的孤岛风电制氢系统日前及实时能量管理策略。在日前能量管理阶段，采用碱性电解槽功率分级能量管理策略，并以系统日收益最大为目标函数，建立孤岛风电制氢系统经济性能量管理模型，提出一种改进灰狼优化算法对系统能量管理模型进行求解，优化系统能量流动，提高系统经济性。在实时能量管理阶段，为保证系统在非计划功率波动时可以维持稳定运行，设计了一种基于工况识别的孤岛风电制氢系统实时能量管理策略，根据系统实时运行工况及时调整系统运行状态。实验结果表明：基于改进灰狼优化算法的日前阶段能量管理有效增加系统日收益，提高了系统的经济性。基于工况识别的实时阶段能量管理在日前计划下风功率波动时可以维持系统功率平衡，实现电解槽全天稳定制氢。

In order to solve the influence of intermittent and fluctuating wind energy on the economy and reliability of the system, a day-ahead and real-time energy management strategy for islanded wind power hydrogen production system with energy storage battery was proposed. In the day-ahead energy management stage, the energy management strategy of alkaline electrolytic cell power classification was adopted, and the economic energy management model of isolated wind power hydrogen production system was established with the maximum daily profit of the system as the objective function. An improved grey wolf optimization algorithm was proposed to solve the system energy management model, optimize the system energy flow and improve the system economy. In the real-time energy management stage, in order to ensure that the system can maintain stable operation when unplanned power fluctuations occur, a real-time energy management strategy for island wind power hydrogen production system based on condition identification was designed, which can adjust the system operation status in time according to the real-time operating conditions of the system. The experimental results show that the day-ahead energy management based on the improved grey wolf optimization algorithm effectively increases the daily revenue of the system and improves the economy of the system. The real-time stage energy management based on condition identification can maintain the system power balance when the wind power fluctuates under the day-ahead plan, and realize the stable hydrogen production of the electrolytic cell throughout the day.