碳交易背景下基于综合协调储能系统的碳捕集电厂优化调度

doi:10.11930/j.issn.1004-9649.202209068

中国电力 ›› 2023, Vol. 56 ›› Issue (6): 139-147.DOI: 10.11930/j.issn.1004-9649.202209068

碳交易背景下基于综合协调储能系统的碳捕集电厂优化调度

冯帅¹, 袁至¹, 李骥², 王维庆¹, 何山¹

1. 新疆大学可再生能源发电与并网控制教育部工程研究中心，新疆乌鲁木齐 830017;
2. 国网新疆电力有限公司电力科学研究院，新疆乌鲁木齐 830011

收稿日期:2022-09-12 修回日期:2023-03-20 发布日期:2023-07-04
作者简介:冯帅（1997—），男，硕士研究生，从事碳捕集电厂优化调度研究，E-mail：563968964@qq.com;袁至（1984—），男，通信作者，博士，副教授，从事可再生能源发电与并网控制研究，E-mail：yzisthecure@163.com
基金资助:
新疆维吾尔自治区重点实验室开放课题（考虑可再生能源消纳的碳捕集电厂多目标智能优化方法研究，2022D04081）；国家自然科学基金资助项目（含大规模新能源的风光储联合发电系统灵活性运行策略研究，52067020）

Optimal Scheduling of Carbon Capture Power Plants Based on Integrated Coordinated Energy Storage System under the Background of Carbon Trading

FENG Shuai¹, YUAN Zhi¹, LI Ji², WANG Weiqing¹, HE Shan¹

1. Engineering Research Center of Renewable Energy Power Generation and Grid-connected Control, Ministry of Education, Xinjiang University, Urumqi 830017, China;
2. Electric Power Research Institute of State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830011, China

Received:2022-09-12 Revised:2023-03-20 Published:2023-07-04
Supported by:
This work is supported by Open Project of Key Laboratory of Xinjiang Uygur Autonomous Region (Research on Multi-objective Intelligent Optimization Method of Carbon Capture Power Plant Considering Renewable Energy Consumption, No.2022D04081) and National Natural Science Foundation of China (Study on Flexible Operation Strategy of Wind-Solar Storage Combined Power Generation System with Large-Scale New Energy, No.52067020).

摘要/Abstract

摘要： 煤电低碳化改造过程中存在着峰荷时段碳捕集水平降低和碳配额计算与实际应用存在偏差的问题。针对该问题，首先引入氢燃料电池和储氢装置构成综合协调储能系统，改善碳捕集电厂峰荷时段碳捕集水平不足的问题；然后建立碳配额计算模型，使碳配额的计算方法更符合实际应用；最后以系统综合运行成本最低为目标，构建基于综合协调储能系统的碳捕集电厂优化调度模型，并使用Cplex对所提模型进行求解。算例结果表明：碳捕集电厂在优先消纳风电的基础上提高了碳捕集水平和经济性，兼顾了系统低碳性。

关键词: 碳交易, 碳配额, 碳捕集电厂, 电转气, 氢燃料电池, 综合协调储能系统

Abstract: In the process of coal-fired power low-carbon transformation, new challenges emerge such as the weakening performance of carbon capture level during peak load period, the deviation between carbon quota calculation and actual application, etc. In view of these issues, the paper first introduces hydrogen fuel cells and hydrogen storage devices to formulate a comprehensive coordinated energy storage system, which can improve the insufficient carbon capture level during peak load period of carbon capture power plants; Then, the carbon quota calculation model is established, such that the calculation method of carbon quotas is more in line with practical applications; Finally, by setting the minimization of comprehensive operating cost of the system as the objective function, the optimal scheduling model of carbon capture power plants based on the comprehensive coordinated energy storage system is constructed, and the proposed model is solved using Cplex software package. The calculation results show that the carbon capture power plant can improve the carbon capture level and economy while prioritizing wind power consumption, by taking into account the low-carbon nature of the system.

Key words: carbon trading, carbon quota, carbon capture power plant, power to gas, hydrogen fuel cell, integrated coordinated energy storage system

冯帅, 袁至, 李骥, 王维庆, 何山. 碳交易背景下基于综合协调储能系统的碳捕集电厂优化调度[J]. 中国电力, 2023, 56(6): 139-147.

FENG Shuai, YUAN Zhi, LI Ji, WANG Weiqing, HE Shan. Optimal Scheduling of Carbon Capture Power Plants Based on Integrated Coordinated Energy Storage System under the Background of Carbon Trading[J]. Electric Power, 2023, 56(6): 139-147.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202209068

https://www.electricpower.com.cn/CN/Y2023/V56/I6/139

参考文献

[1] 米剑锋, 马晓芳. 中国CCUS技术发展趋势分析[J]. 中国电机工程学报, 2019, 39(9): 2537–2544
MI Jianfeng, MA Xiaofang. Development trend analysis of carbon capture, utilization and storage technology in China[J]. Proceedings of the CSEE, 2019, 39(9): 2537–2544
[2] 董洁, 乔建强. “双碳”目标下先进煤炭清洁利用发电技术研究综述[J]. 中国电力, 2022, 55(8): 202–212
DONG Jie, QIAO Jianqiang. A review on advanced clean coal power generation technology under "carbon peaking and carbon neutrality" goal[J]. Electric Power, 2022, 55(8): 202–212
[3] 孙子茹, 艾芊, 居来提·阿不力孜, 等. 考虑季节性氢储及期货式碳交易的综合能源系统年度规划研究[J]. 中国电力, 2022, 55(8): 2–13
SUN Ziru, AI Qian, JULAITI Abulizi, et al. Annual planning study of integrated energy system considering seasonal hydrogen storage and futures carbon trading[J]. Electric Power, 2022, 55(8): 2–13
[4] 陈海鹏, 陈晋冬, 张忠, 等. 计及灵活运行碳捕集电厂捕获能耗的电力系统低碳经济调度[J]. 电力自动化设备, 2021, 41(9): 133–139
CHEN Haipeng, CHEN Jindong, ZHANG Zhong, et al. Low-carbon economic dispatching of power system considering capture energy consumption of carbon capture power plants with flexible operation mode[J]. Electric Power Automation Equipment, 2021, 41(9): 133–139
[5] 赵东声, 高忠臣, 刘伟. 碳捕集火电与梯级水电联合优化的低碳节能发电调度[J]. 电力系统保护与控制, 2019, 47(15): 148–155
ZHAO Dongsheng, GAO Zhongchen, LIU Wei. Low carbon and energy-saving power generation dispatching based on joint optimization of carbon capture thermal power and cascade hydropower[J]. Power System Protection and Control, 2019, 47(15): 148–155
[6] 孙惠娟, 蒙锦辉, 彭春华. 风–光–水–碳捕集多区域虚拟电厂协调优化调度[J]. 电网技术, 2019, 43(11): 4040–4051
SUN Huijuan, MENG Jinhui, PENG Chunhua. Coordinated optimization scheduling of multi-region virtual power plant with wind-power/photovoltaic/hydropower/carbon-capture units[J]. Power System Technology, 2019, 43(11): 4040–4051
[7] 田丰, 贾燕冰, 任海泉, 等. 考虑碳捕集系统的综合能源系统“源–荷”低碳经济调度[J]. 电网技术, 2020, 44(9): 3346–3355
TIAN Feng, JIA Yanbing, REN Haiquan, et al. “Source load” low carbon economic dispatch of integrated energy system considering carbon capture system[J]. Power System Technology, 2020, 44(9): 3346–3355
[8] 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: 1–17
CUI Yang, GU Chunchi, FU Xiaobiao, et al. Low-carbon economic dispatch of integrated energy system with carbon capture power plants considering generalized electric heating demand response[J]. Proceedings of the CSEE, 2022: 1–17
[9] 张沈习, 王丹阳, 程浩忠, 等. 双碳目标下低碳综合能源系统规划关键技术及挑战[J]. 电力系统自动化, 2022, 46(8): 189–207
ZHANG Shenxi, WANG Danyang, CHENG Haozhong, et al. Key technologies and challenges of low-carbon integrated energy system planning for carbon emission peak and carbon neutrality[J]. Automation of Electric Power Systems, 2022, 46(8): 189–207
[10] 鲁鹏,冯春贤,武伟鸣,等.园区能源供需价量双层Stackelberg博弈模型[J].中国电力,2022,55(6):74-79.
LU Peng, FENG Chunxian, WU Weiming, et al. Two-Layer Stackelberg Game Model for Energy Supply and Demand in the Park[J]. Electric Power, 2022,55(6):74-79.
[11] 随权, 马啸, 魏繁荣, 等. 计及燃料电池热-电综合利用的能源网日前调度优化策略[J]. 中国电机工程学报, 2019, 39(6): 1603–1613, 1857
SUI Quan, MA Xiao, WEI Fanrong, et al. Day-ahead dispatching optimization strategy for energy network considering fuel cell thermal-electric comprehensive utilization[J]. Proceedings of the CSEE, 2019, 39(6): 1603–1613, 1857
[12] 荆涛, 陈庚, 王子豪, 等. 风光互补发电耦合氢储能系统研究综述[J]. 中国电力, 2022, 55(1): 75–83
JING Tao, CHEN Geng, WANG Zihao, et al. Research overview on the integrated system of wind-solar hybrid power generation coupled with hydrogen-based energy storage[J]. Electric Power, 2022, 55(1): 75–83
[13] 生态环境部. 2019—2020年全国碳排放权交易配额总量设定与分配实施方案(发电行业)(国环规气候〔2020〕3号)[A]. 2020.
[14] 余莎, 何光层, 刘志坚, 等. 含碳捕集的电-气综合能源系统低碳经济调度[J]. 广东电力, 2022, 35(2): 74–82
YU Sha, HE Guangceng, LIU Zhijian, et al. Low-carbon economic dispatch of integrated electricity-gas energy system with carbon capture[J]. Guangdong Electric Power, 2022, 35(2): 74–82
[15] 廖跃洪, 陈洁, 杨彦飞, 等. 考虑碳捕集电厂综合灵活运行下的含P2G和光热电站虚拟电厂优化调度[J]. 电力建设, 2022, 43(4): 20–27
LIAO Yuehong, CHEN Jie, YANG Yanfei, et al. Optimal scheduling of virtual power plant with P2G and photo-thermal power plant considering the flexible operation of carbon capture power plants[J]. Electric Power Construction, 2022, 43(4): 20–27
[16] 卢志刚, 隋玉珊, 冯涛, 等. 考虑储热装置与碳捕集设备的风电消纳低碳经济调度[J]. 电工技术学报, 2016, 31(17): 41–51
LU Zhigang, SUI Yushan, FENG Tao, et al. Wind power accommodation low-carbon economic dispatch considering heat accumulator and carbon capture devices[J]. Transactions of China Electrotechnical Society, 2016, 31(17): 41–51
[17] 付亦殊, 陈红坤, 姜欣, 等. 促进大规模风电消纳的双层调峰补偿机制研究[J]. 电力系统保护与控制, 2019, 47(4): 51–57
FU Yishu, CHEN Hongkun, JIANG Xin, et al. A bi-layer peak-regulation compensation mechanism for large-scale wind power integration[J]. Power System Protection and Control, 2019, 47(4): 51–57
[18] MAHIDIN E, HUSIN G H, et al. A critical review of the integration ofrenewable energy sources with various technologies[J]. Protection and Control of Modern Power Systems, 2021, 6(1): 37–54.
[19] LIU S, ZHOU C, GUO H M, et al. Operational optimization of a building-level integrated energy system considering additional potential benefits of energy storage[J]. Protection and Control of Modern Power Systems, 2021, 6(1): 55–64.
[20] 王彦哲, 周胜, 姚子麟, 等. 中国煤电生命周期二氧化碳和大气污染物排放相互影响建模分析[J]. 中国电力, 2021, 54(8): 128–135
WANG Yanzhe, ZHOU Sheng, YAO Zilin, et al. Life cycle modeling analysis of the interaction between carbon dioxide and air pollutant emissions of coal power in China[J]. Electric Power, 2021, 54(8): 128–135
[21] 崔杨, 闫石, 仲悟之, 等. 含电转气的区域综合能源系统热电优化调度[J]. 电网技术, 2020, 44(11): 4254–4264
CUI Yang, YAN Shi, ZHONG Wuzhi, et al. Optimal thermoelectric dispatching of regional integrated energy system with power-to-gas[J]. Power System Technology, 2020, 44(11): 4254–4264

碳交易背景下基于综合协调储能系统的碳捕集电厂优化调度

Optimal Scheduling of Carbon Capture Power Plants Based on Integrated Coordinated Energy Storage System under the Background of Carbon Trading

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	周建华, 梁昌誉, 史林军, 李杨, 易文飞. 计及阶梯式碳交易机制的综合能源系统优化调度[J]. 中国电力, 2025, 58(2): 77-87.
[2]	许文俊, 马刚, 姚云婷, 孟宇翔, 李伟康. 考虑绿证-碳交易机制与混氢天然气的工业园区多能优化调度[J]. 中国电力, 2025, 58(2): 154-163.
[3]	胡景成, 范耘豪, 朱同, 陈珍萍. 基于同态加密的综合能源系统完全分布式低碳经济调度[J]. 中国电力, 2025, 58(2): 164-175.
[4]	王辉, 周珂锐, 吴作辉, 邹智超, 李欣. 含电转气和碳捕集耦合的综合能源系统多时间尺度优化调度[J]. 中国电力, 2024, 57(8): 214-226.
[5]	陈兴龙, 曹喜民, 陈洁, 刘俊, 张育超, 包洪印. 绿证-碳交易机制下热电灵活响应的园区综合能源系统优化调度[J]. 中国电力, 2024, 57(6): 110-120.
[6]	张彩玲, 王爽, 葛淑娜, 潘登, 张岩, 韩伟, 段文岩. 计及灵活需求响应和碳-绿证交易的综合能源系统优化调度[J]. 中国电力, 2024, 57(5): 14-25.
[7]	王一蓉, 陈浩林, 林立身, 唐进. 考虑电力行业碳排放的全国碳价预测[J]. 中国电力, 2024, 57(5): 79-87.
[8]	谭玲玲, 汤伟, 楚冬青, 于子涵, 吉兴全, 张玉敏. 考虑电-氢一体化的微电网低碳-经济协同优化调度[J]. 中国电力, 2024, 57(5): 137-148.
[9]	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]	张冲标, 钱辰雯, 俞红燕, 彭燕玲, 陈金威. 基于ADMM的多场景县域多微电网交互运行策略[J]. 中国电力, 2024, 57(2): 9-18.
[11]	张栋顺, 全恒立, 谢桦, 许志鸿, 陶雅芸, 王慧圣. 考虑碳交易机制与氢混天然气的园区综合能源系统调度策略[J]. 中国电力, 2024, 57(2): 183-193.
[12]	晁文浩, 袁至, 李骥. 计及电转气-风-火-核-碳捕集的多源联合系统优化调度[J]. 中国电力, 2024, 57(1): 183-194.
[13]	孟宇翔, 马刚, 李豪, 李伟康, 徐健玮, 李天宇. 基于绿证-阶梯式碳交易交互的源荷互补调度优化[J]. 中国电力, 2023, 56(9): 149-156.
[14]	赵军, 张敏, 张世锋, 杨琦. 计及碳交易和新能源不确定性的多微电网合作运行优化策略[J]. 中国电力, 2023, 56(5): 62-71.
[15]	王臻, 刘东, 徐重酉, 翁嘉明, 陈飞. 新型电力系统多源异构数据融合技术研究现状及展望[J]. 中国电力, 2023, 56(4): 1-15.

模态框（Modal）标题

碳交易背景下基于综合协调储能系统的碳捕集电厂优化调度

Optimal Scheduling of Carbon Capture Power Plants Based on Integrated Coordinated Energy Storage System under the Background of Carbon Trading

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics