Optimal Scheduling of Integrated Energy System with Multiple Hydrogen Energy Applications and Carbon Capture Based on IGDT

CHANG Ximao; DONG Jiaang; WEI Riguang; LI Ran

doi:10.19805/j.cnki.jcspe.2026.240811

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Optimal Scheduling of Integrated Energy System with Multiple Hydrogen Energy Applications and Carbon Capture Based on IGDT

更新时间：2026-10-10

- Optimal Scheduling of Integrated Energy System with Multiple Hydrogen Energy Applications and Carbon Capture Based on IGDT
- Chinese Journal of Power Engineering Vol. 46, Issue 4, Pages: 198-207(2026)
- 作者机构：
  
  1. 华北电力大学自动化系,河北,保定,071003
  2. 华北电力大学动力工程系,河北,保定,071003
  3. 华北电力大学电力工程系,河北,保定,071003
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2026.240811
  CLC： TM76
- Published：2026
- 稿件说明：
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常喜茂, 董佳昂, 危日光, 栗然. 基于IGDT的含氢能多元应用和碳捕集综合能源系统优化调度[J]. 动力工程学报, 2026, 46(4): 198-207.
常喜茂, 董佳昂, 危日光, 栗然. 基于IGDT的含氢能多元应用和碳捕集综合能源系统优化调度[J]. 动力工程学报, 2026, 46(4): 198-207. DOI： 10.19805/j.cnki.jcspe.2026.240811.

DOI： 10.19805/j.cnki.jcspe.2026.240811

摘要

为解决综合能源系统(integrated energy system

IES)盈余风电转化效率低、碳排放量大和存在源荷不确定性等问题

提出了一种基于信息间隙决策理论(info-gap decision theory

IGDT)的含氢能多元应用和碳捕集IES优化调度模型。首先

将电转气细分为电解池、甲烷反应器两部分

并增设了氢燃料电池、掺氢热电联产和掺氢燃气锅炉等氢能应用

以充分发挥氢能的应用优势;其次

引入了储液式碳捕集

与氢能应用协同运行

同时以低碳经济为目标建立了系统优化调度模型;在此基础上

采用IGDT对源荷不确定性进行处理

根据风险态度制定了风险规避与机会寻求2种调度策略。结果表明:与不含氢能多元应用和碳捕集的IES模型相比

所提出的模型运行总成本下降了16.9%

碳排放量降低了29.4%

盈余风电转化效率提升了32.1百分点;风险规避策略可提高系统应对不确定性波动的能力

但成本会有一定程度的升高

而机会寻求策略则能充分利用有利不确定性来获得潜在效益

但需承担一定风险。

Abstract

To tackle problems such as the low conversion efficiency of surplus wind power

high carbon emissions

and uncertainties in source and load within integrated energy system (IES)

an optimization scheduling model for IES incorporating multiple hydrogen energy applications and carbon capture was proposed based on info-gap decision theory (IGDT). Initially

the power-to-gas process was subdivided into two components: electrolyzers and methanation reactors. Additionally

hydrogen energy applications including hydrogen fuel cells

hydrogen-blended combined heat and power (CHP) systems

and hydrogen-blended gas boilers were introduced to fully leverage the advantages of hydrogen energy. Subsequently

liquid-storage carbon capture was integrated and operated in coordination with hydrogen energy applications. Then

a system optimization scheduling model was established with the objective of achieving a low-carbon economy. Building on this foundation

IGDT was employed to address uncertainties in source and load fluctuations

and two scheduling strategies—risk-averse and opportunity-seeking—were formulated based on different risk attitudes. Results demonstrate that

compared with the IES model without multiple hydrogen energy applications and carbon capture

by the proposed model

the total operating cost is reduced by 16.9%

the carbon emission is decreased by 29.4%

and the conversion efficiency of surplus wind power is improved by 32.1 percentage points. Furthermore

the risk-averse strategy is found to improve the system resilience against uncertainty fluctuations

albeit at the cost of increased operational expenses. Conversely

the opportunity-seeking strategy capitalizes on favorable uncertainties to secure potential benefits

albeit with an accompanying level of risk.

关键词

Keywords

references

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