化工进展 ›› 2021, Vol. 40 ›› Issue (11): 6071-6078.DOI: 10.16085/j.issn.1000-6613.2020-2379

• 能源加工与技术 • 上一篇    下一篇

风力发电制氢与氢气网络耦合系统的氢气波动平抑特性分析

韩儒松1(), 蒋迎花1, 康丽霞1,2, 刘永忠1,2,3()   

  1. 1.西安交通大学化工系,陕西 西安 710049
    2.陕西省能源化工过程强化重点实验室,陕西 西安 710049
    3.热流科学与工程教育部重点实验室,陕西 西安 710049
  • 收稿日期:2020-11-27 修回日期:2021-03-25 出版日期:2021-11-05 发布日期:2021-11-19
  • 通讯作者: 刘永忠
  • 作者简介:韩儒松(1996—),男,硕士研究生,研究方向为化工系统工程。E-mail:hanrsg@stu.xjtu.edu.cn
  • 基金资助:
    国家自然科学基金(21878240)

Analysis of fluctuation suppressing characteristics for hydrogen network coupled with wind power generation system

HAN Rusong1(), JIANG Yinghua1, KANG Lixia1,2, LIU Yongzhong1,2,3()   

  1. 1.Department of Chemical Engineering, Xi’an Jiaotong University, Xi’an 710049, Shaanxi, China
    2.Shaanxi Key Laboratory of Energy Chemical Process Intensification, Xi’an 710049, Shaanxi, China
    3.Key Laboratory of Thermo-Fluid Science and Engineering, Xi’an 710049, Shaanxi, China
  • Received:2020-11-27 Revised:2021-03-25 Online:2021-11-05 Published:2021-11-19
  • Contact: LIU Yongzhong

摘要:

将可再生能源发电制氢集成于炼厂氢气系统中,不仅可替代部分氢气公用工程以满足炼厂的氢气需求,同时也可为炼厂中旋转设备提供电能,但可再生能源发电制氢的波动性将影响氢气网络的稳定运行。为了探究风力发电制氢与氢气网络集成中两个子系统平抑风能波动的特性,本文构建了集成风力发电制氢的氢气网络数学优化分析模型,研究了氢气网络平抑风力发电制氢波动的经济性和系统结构特性。研究表明,为了适应可再生能源发电制氢的波动,氢气网络需要更加复杂的网络结构,且风力发电制氢输出的电力和氢气经储能电池和氢气储罐的缓冲调节后仍存在较大波动,氢气网络仍需通过调节公用工程和燃气系统来实现氢气网络的稳定运行。

关键词: 风力发电, 氢气网络, 平抑波动, 数学规划, 优化

Abstract:

Integrating renewable energy system into a hydrogen network can replace a part of hydrogen utility to meet the hydrogen demand in a refinery. Meanwhile, it also provides electricity for the rotating equipment in the refinery. However, the fluctuation of hydrogen will affect the stable operation of the hydrogen network. To explore the characteristics of the two subsystems in suppressing fluctuations of wind power generation, a mathematical programming model for the hydrogen network integrated with wind power to hydrogen system is established to investigate the economy and structure characteristics of the hydrogen network for suppressing the fluctuations of the hydrogen stream from wind power generation. The results show that, to accommodate fluctuations, a more complex structure of the hydrogen network is required. The power and hydrogen outputs from the wind power generation system still fluctuate greatly after the batteries and hydrogen storage tanks buffering. It is critical to adjust the flowrate of hydrogen utility and fuel gas system to achieve stable operation of the hydrogen network.

Key words: wind power generation, hydrogen network, suppressing fluctuation, mathematical programming, optimization

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