基于制氢装置效率特性的风储制氢电厂优化控制策略

Optimal control strategy of wind-energy storage hydrogen production power plant based on efficiency characteristics of hydrogen production device

风电输出功率波动性与碱性电解槽工作特性间的矛盾降低了制氢装置的工作效率。针对这一问题,对碱性电解槽的动态工作特性展开研究,分析了风速波动对电解槽稳定运行的影响,综合对比了不同储能装置与电制氢协同运行的效果,选取超级电容储能装置作为风储制氢电厂的储能单元。提出了一种风储制氢电厂的效率优化控制策略。该策略在平抑层采用集合经验模态分解(EEMD)算法对风电功率进行分解与高、低频重构;在修正层依据碱性电解槽的工作状态、超级电容的荷电状态,采用模糊控制器对重构后的功率进行修正,实现对碱性电解槽与超级电容之间功率的合理分配,以提高风储制氢电厂的能源利用率。基于搭建的风储制氢电厂仿真模型,在不同的风速输入下对比3种不同策略的控制效果,验证所提策略的有效性。

The contradiction between the fluctuation of wind power output and the working characteristics of alkaline electrolyzer reduces the working efficiency of hydrogen production unit.To solve this problem,the dynamic working characteristics of alkaline electrolyzer are studied,the influence of wind speed fluctuation on the stable operation of the electrolyzer is analyzed,and the coordinated operation effect between different energy storage devices and power-to-hydrogen is comprehensively compared.The supercapacitor energy storage device is selected as the energy storage unit of the wind-energy storage hydrogen production power plant.An efficiency optimization control strategy for wind-energy storage hydrogen production power plant is pro⁃posed.In the suppression layer,the ensemble empirical mode decomposition(EEMD)algorithm is used to decompose the wind power and reconstruct the high-and low-frequency components.In the correction layer,according to the working states of the alkaline electrolyzer and the state of charge of the supercapacitor,the reconstructed power is corrected by using the fuzzy controllers,so as to realize the reasonable power allocation between the alkaline electrolyzer and the supercapacitor,improving the energy utilization rate of the wind-energy storage hydrogen production power plant.Based on the simulation model of the wind-energy storage hydrogen production power plant,the control effects of three different strategies are compared under different wind speed inputs,verifying the effectiveness of the proposed strategy.