中文摘要：

为了提高风电消纳能力、减少煤化工对环境的污染,提出以氢储能技术为媒介将风电和煤化工进行整合。构建了风电–氢储能与煤化工多能耦合系统基本架构,将电网不能消纳的富裕风电通过电解水制氢储能;储存的氢气除供给煤化工使用以简化其生产流程外,还可在需要时用于发电以平抑风电对电力系统的安全稳定运行的掣肘;针对多能耦合系统中的氢储能过程,利用宏观能量描述法（EMR）建立了氢储能系统模型,揭示了制氢系统中的能量传递或转换机制;并基于反转规则建立了氢储能系统的控制结构,初步构建了调整系统功率流和氢气流的控制策略。最后,基于MATLAB/Simulink搭建了多能耦合系统中氢储能系统的仿真模型并进行了仿真实验。结果表明,氢气储能系统可以在0~100%额定功率范围内自适应风电功率的随机、间歇和波动等特性,验证了所提多能系统的基本思路和所建立的氢储能系统仿真模型的正确性。

英文摘要：

In order to improve the wind power consuming ability and reduce pollution of coal chemical to environment, we put forward the process integration of wind power and coal chemical processing by taking hydrogen energy storage technology as an intermediary. Based on the basic framework of wind power-hydrogen energy storage and coal chemical multi-functional coupling system, hydrogen produced by electrolyzing water is used in the unconsumed wind power of power grid to store the hydrogen. The stored hydrogen is not only provided to coal chemical industry to simplify the pro- duction process, but also used to generate electricity, when needed, to decrease the constraints of wind power to the safe and stable operation of power system. Aiming at the hydrogen producing progress in pluripotent coupling system, we es- tablished a mathematical model of hydrogen producing system based on energetic macroscopic representation（EMR）, and revealed the energy transmit or shifting mechanism of hydrogen producing system. Then we established the controlling structure of hydrogen producing system based on inversion rule, and proposed the controlling strategy of adjusting power flow and hydrogen flow. Finally, we built the simulation model of hydrogen producing system in pluripotent coupling system on the basis of MATLAB/Simulink and simulated the producing progress of hydrogen. The results show that the hydrogen storage can adapt to the random, intermittent, and wave characteristics of wind power in the rated power range of 0-100%, verifying the basic train of thought of the multi-functional coupling system and the correctness of the hydrogen storage system simulation model.