Scholarlink

<p>Applying hydrogen and methane generated by the power-to-gas and carbon capture systems (P2G-CCS) as fuel in gas turbines can help improve the energy utilization efficiency of integrated energy systems (IES) and reduce carbon emissions. Meanwhile, the dynamic characteristics of gas thermal energy flow play an important role in the flexibility of system scheduling and regulating multi-energy coupling. This article proposes an IES scheduling strategy that considers the dynamic characteristics of gas and heat, including P2G and hydrogen blending in gas. The characteristic gas thermal energy flow equation is first transformed into the s-domain to obtain a two-port transfer function model. The convolution theorem is used to perform a Laplace inverse transformation on it, thereby obtaining a time-domain dynamic model of any time section. Second, based on the dynamic model, a collaborative operation framework of P2G-CCS, combined heating and power (CHP) for gas turbines, and gas boiler (GB) for hydrogen blending is established, combined with a carbon trading mechanism to achieve carbon emission reduction effect. Finally, taking the IEEE-39-20-6 system as an example, the effectiveness of the established model and strategy is verified.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Optimal scheduling of P2G-CCS and gas hydrogen doping IES under gas-heat dynamic characteristics

  • 期刊论文

  • 发表日期：

    2025年6月7日

查看全文
  • Tao Zhang,
  • Jin Wang,
  • Heng Meng,
  • Shi Chaozhang,
  • Wen Liliu,
  • Min Chen,
  • Cheng Zhensi,
  • Ming Zhixiong

摘要

Applying hydrogen and methane generated by the power-to-gas and carbon capture systems (P2G-CCS) as fuel in gas turbines can help improve the energy utilization efficiency of integrated energy systems (IES) and reduce carbon emissions. Meanwhile, the dynamic characteristics of gas thermal energy flow play an important role in the flexibility of system scheduling and regulating multi-energy coupling. This article proposes an IES scheduling strategy that considers the dynamic characteristics of gas and heat, including P2G and hydrogen blending in gas. The characteristic gas thermal energy flow equation is first transformed into the s-domain to obtain a two-port transfer function model. The convolution theorem is used to perform a Laplace inverse transformation on it, thereby obtaining a time-domain dynamic model of any time section. Second, based on the dynamic model, a collaborative operation framework of P2G-CCS, combined heating and power (CHP) for gas turbines, and gas boiler (GB) for hydrogen blending is established, combined with a carbon trading mechanism to achieve carbon emission reduction effect. Finally, taking the IEEE-39-20-6 system as an example, the effectiveness of the established model and strategy is verified.