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需求响应激励下耦合电转气、碳捕集设备的综合能源系统优化

高月芬 员成博 孔凡鹏 王雪松

中国电力2024,Vol.57Issue(4):32-41,10.
中国电力2024,Vol.57Issue(4):32-41,10.DOI:10.11930/j.issn.1004-9649.202307056

需求响应激励下耦合电转气、碳捕集设备的综合能源系统优化

Optimization of Integrated Energy System Coupled with Power-to-Gas and Carbon Capture and Storage Equipment under Demand Response Incentive

高月芬 1员成博 1孔凡鹏 1王雪松1

作者信息

  • 1. 华北电力大学能源动力与机械工程学院,河北保定 071003||华北电力大学河北省低碳高效发电技术重点实验室,河北保定 071003
  • 折叠

摘要

Abstract

In order to fully mobilize user-side flexible load resources and take advantage of the low-carbon characteristics of hydrogen energy,this paper proposes an integrated energy system optimization method coupled with two-stage power-to-gas and carbon capture and storage(CCS)equipment under demand response incentive.Firstly,a hydrogen-based integrated energy system consisting of two-stage power-to-gas,CCS,hydrogen fuel cells,and hydrogen storage tanks is constructed.Secondly,combined with the conversion coupling relationship between load and energy,and the flexibility characteristics,the stepped demand response incentive mechanism is introduced,and adaptive optimization is conducted for three parameters including compensation base price,interval length and price growth rate.Finally,multiple scenarios are set up,and the multi-objective gray wolf algorithm is used to optimally solve the the supply-side,demand-side,and stepped demand response incentive mechanism of the system.The results show that the total cost of the system operation and CO2 emissions are reduced with the proposed method.

关键词

综合能源系统/柔性负荷/阶梯型需求响应激励机制/电转气/多目标灰狼算法

Key words

integrated energy system/flexible load/stepped demand response incentives/power-to-gas/multi-objective grey wolf algorithm

引用本文复制引用

高月芬,员成博,孔凡鹏,王雪松..需求响应激励下耦合电转气、碳捕集设备的综合能源系统优化[J].中国电力,2024,57(4):32-41,10.

基金项目

国家自然科学基金资助项目(52276007). This work is supported by National Natural Science Foundation of China(No.52276007). (52276007)

中国电力

OA北大核心CSTPCD

1004-9649

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