考虑绿证–碳联合交易的含碳捕集和燃气掺氢的综合能源系统运行优化研究
Study on Operation Optimization of Integrated Energy System with Carbon Capture and Gas Hydrogen Blending Considering Green Certificate and Carbon Joint Trading
摘要: 碳捕集和燃气掺氢都是实现综合能源系统绿色低碳的重要手段之一,鼓励绿色能源发展的绿证配额制以及限制碳排放量的碳排放权交易制度在电力市场中应用广泛。为减少经济和碳排放的同时充分利用可再生能源,本文提出一种考虑绿证–碳联合交易的含碳捕集和燃气掺氢的综合能源系统运行优化研究。首先,引入碳捕集设备和燃气掺氢系统,降低碳排和系统成本,同时分析了掺氢比对碳排放的影响;其次,通过绿色证书交易机制与碳交易机制联合激励综合能源系统进一步绿色低碳,并分析了绿证配额系数对系统经济性、碳排放和可再生能源消纳的影响;最后构建不同场景下的综合能源系统运行优化研究,在Matlab中利用gurobi求解器求解。算例结果表明,本文所提出的模型能够有效提高系统的低碳性与经济性,并提高可再生能源的消纳量。
Abstract: Carbon capture and gas hydrogen blending are both important means to achieve green and low-carbon integrated energy system. The green certificate quota system to encourage the development of green energy and the carbon emission trading system to limit carbon emissions are widely used in the power market. In order to make full use of renewable energy while reducing economy and carbon emissions, this paper proposes an integrated energy system operation optimization strategy with carbon capture and gas hydrogen blending, which takes into account green certificate and carbon joint trading. Firstly, carbon capture equipment and gas hydrogen mixing system are introduced to reduce carbon emission and system cost, and the influence of hydrogen mixing ratio on carbon emission is analyzed; secondly, through the green certificate trading mechanism and carbon trading mechanism to stimulate the integrated energy system to further green low-carbon, and the effects of the green certificate quota coefficient on the system economy, carbon emissions and renewable energy consumption are analyzed; finally, a comprehensive energy system operation optimization strategy under different scenarios is constructed and solved by using gurobi solver in Matlab. The numerical results show that the proposed model can effectively improve the low carbon and economy of the system and increase the consumption of renewable energy.
文章引用:唐涛, 张巍. 考虑绿证–碳联合交易的含碳捕集和燃气掺氢的综合能源系统运行优化研究[J]. 建模与仿真, 2024, 13(5): 5082-5094. https://doi.org/10.12677/mos.2024.135460

参考文献

[1] Yu, W.W., Wen, J.C., Can, W., et al. (2021) Evaluating the Use of BECCS and Afforestation under China’s Carbon-neutral Target for 2060. Applied Energy, 299, Article ID: 117263. [Google Scholar] [CrossRef
[2] Wei, F., Zhong, F.T., Fan, Q.L., et al. (2022) A Two-Stage Optimal Scheduling Model of Integrated Energy System Based on CVaR Theory Implementing Integrated Demand Response. Energy, 263, Article ID: 125783. [Google Scholar] [CrossRef
[3] Wang, R., Wen, X., Wang, X., et al. (2022) Low Carbon Optimal Operation of Integrated Energy System Based on Carbon Capture Technology, LCA Carbon Emissions and Ladder-Type Carbon Trading. Applied Energy, 311, Article ID: 118664. [Google Scholar] [CrossRef
[4] 钱俊杰, 徐懂理, 袁乐, 等. 计及全过程碳足迹和灵活输出模型的综合能源系统低碳经济运行[J]. 广东电力, 2023, 36(10): 19-29.
[5] 罗潇, 任洲洋, 温紫豪, 等. 考虑氢能系统热回收的电氢区域综合能源系统日前优化运行[J]. 电工技术学报, 2023, 38(23): 6359-6372.
[6] 杨紫娟, 田雪沁, 吴伟丽, 等. 考虑电解槽组合运行的风电-氢能-HCNG耦合网络容量优化配置[J]. 电力系统自动化, 2023, 47(12): 76-85.
[7] 刘文昕, 方家琨, 胡可崴, 等. 计及氢气-天然气混输的气电综合能源系统动态最优能流计算[J]. 电工技术学报, 2023, 38(S1): 1-17.
[8] 周步祥, 陈阳, 臧天磊, 等. 考虑气网掺氢与低碳奖赏的气电耦合系统优化调度[J]. 电力自动化设备, 2023, 43(2): 1-8.
[9] 崔杨, 曾鹏, 王铮, 等. 计及电价型需求侧响应含碳捕集设备的电-气-热综合能源系统低碳经济调度[J]. 电网技术, 2021, 45(2): 447-461.
[10] 崔杨, 谷春池, 付小标, 等. 考虑广义电热需求响应的含碳捕集电厂综合能源系统低碳经济调度[J]. 中国电机工程学报, 2022, 42(23): 8431-8446.
[11] 葛淑娜, 张彩玲, 王爽, 等. 计及氢能多元利用和绿证-碳联合交易的综合能源系统优化运行[J]. 电力自动化设备, 2023, 43(12): 231-237.
[12] 刘晓军, 聂凡杰, 杨冬锋, 等. 碳捕集电厂-电转气联合运行模式下考虑绿证-碳交易机制的综合能源系统低碳经济调度[J]. 电网技术, 2023, 47(6): 2207-2222.
[13] 安江涛, 刘卫亮, 林永君, 等. 绿证-碳交易融合机制下含氢综合能源系统优化调度[J/OL]. 2024-04-01.[CrossRef
[14] 李佳蓉, 林今, 邢学韬, 等. 主动配电网中基于统一运行模型的电制氢(P2H)模块组合选型与优化规划[J]. 中国电机工程学报, 2021, 41(12): 4021-4033.
[15] 孙惠娟, 阙炜新, 彭春华. 考虑电氢耦合和碳交易的电氢能源系统置信间隙鲁棒规划[J]. 电网技术, 2023, 47(11): 4477-4490.
[16] 全国天然气标准化技术委员会. 天然气: GB 17820-2018 [S]. 北京: 中国标准出版社, 2019.
[17] 王喜平, 王仕恒. 碳交易试点政策对电力碳减排的影响效应[J]. 分布式能源, 2023, 8(3): 10-16.
[18] Yang, D.F., Jiang, C., Cai, G.W., et al. (2020) Interval Method Based Optimal Planning of Multi-Energy Microgrid with Uncertain Renewable Generation and Demand. Applied Energy, 277, Article ID: 115491. [Google Scholar] [CrossRef