考虑储液式碳捕集电厂的含风电系统低碳经济调度

doi:10.19595/j.cnki.1000-6753.tces.201249

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摘要碳捕集电厂可以实现火电电能生产的低碳化,是构建清洁能源体系的重要技术路径之一。配置了溶液存储器的碳捕集电厂能够解耦CO₂的吸收与再生两个环节,其捕碳和发电的协调运行能力更强。根据储液式碳捕集电厂的运行机理与能流特性,建立其捕碳与发电出力模型,并构建二维坐标图定量研究无储液与储液式碳捕集机组的总发电出力与净出力运行区间。基于此,建立计及储液式碳捕集电厂的含风电系统低碳经济调度模型,该模型以系统总运行费用最低为目标函数,考虑系统发电成本、碳交易成本以及风电出力不确定性带来的运行风险。以20机系统为例,对含储液式碳捕集电厂的系统优化调度进行研究,结果验证了所提模型的合理性与有效性。

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关键词 ：碳捕集电厂, 溶液存储器, 风电消纳, 协调优化, 低碳经济调度

Abstract：As one of the important technical paths to build a clean energy system, carbon capture power plant can achieve low carbonization during thermal power generation. The carbon capture power plant equipped with solvent storage can decouple the absorption and regeneration processes of CO₂, which makes its coordinated ability of carbon capture and power generation stronger. According to the operating mechanism and energy flow characteristics of solvent-storaged carbon capture power plant, the carbon capture and power generation output model is constructed. Besides, the operating range of the total output and net output of carbon capture units with or without solvent storage are quantitatively studied by drawing two-dimensional coordinate diagram. Based on this, the low-carbon economic dispatch model of power system integrated with wind power considering solvent-storaged carbon capture power plant is established. With the goal of the lowest overall operating cost, the model takes into account the power generation cost, carbon trading cost and risk cost of the system. Taking the 20-unit system as an example, the optimal dispatch of system accommodated solvent-storaged carbon capture power plant is studied. The rationality and effectiveness of the proposed model are verified by numerical results.

Key words： Carbon capture power plant solvent storage wind power accommodation coordinated optimization low-carbon economic dispatch

收稿日期: 2020-09-18

PACS:

TM734

基金资助:国家自然科学基金（51977087）和国家电网公司科技项目（521532190003）资助

通讯作者: 娄素华女,1974年生,教授,博士生导师,研究方向为电力系统规划与优化运行,新能源发电与电力技术经济等。E-mail：shlou@hust.edu.cn

作者简介: 彭元女,1996年生,硕士研究生,研究方向为电力系统运行优化。E-mail：py964398682@163.com

引用本文:

彭元, 娄素华, 吴耀武, 王莹, 周鲲鹏. 考虑储液式碳捕集电厂的含风电系统低碳经济调度[J]. 电工技术学报, 2021, 36(21): 4508-4516. Peng Yuan, Lou Suhua, Wu Yaowu, Wang Ying, Zhou Kunpeng. Low-Carbon Economic Dispatch of Power System with Wind Power Considering Solvent-Storaged Carbon Capture Power Plant. Transactions of China Electrotechnical Society, 2021, 36(21): 4508-4516.

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[1] 中国电力企业联合协会. 2019年全国电力工业统计快报数据一览表[EB/OL]. [2020-01-21]. http://www. cec.org.cn/menu/index.html?541.
[2] International Energy Agency. Energy technology perspectives2017[EB/OL]. 2017. https://www.iea. org/etp/.
[3] 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): 2537-2543.
Mi Jianfeng, Ma Xiaofang.Development trend analysis of carbon capture, utilization and storage technology in China[J]. Proceedings of the CSEE, 2019, 39(9): 2537-2543.
[4] Lou Suhua, Lu Siyu, Wu Yaowu, et al.Optimizing spinning reserve requirement of power system with carbon capture plants[J]. IEEE Transactions on Power Systems, 2015, 30(2): 1056-1063.
[5] International Energy Agency. Energy technology perspectives2020[EB/OL]. 2020. https://www.iea. org/reports/ccus-in-clean-energy-transitions/a-new-era-for-ccus#growing-ccus-momentum.
[6] International CCS Knowledge Centre. The Shand CCS feasibility study [EB/OL].[2018-11-29]. https://ccs knowledge.com/initiatives/2nd-generation-ccs-shand-study.
[7] 陈启鑫, 康重庆, 夏清. 碳捕集电厂的运行机制研究与调峰效益分析[J]. 中国电机工程学报, 2010, 30(7): 22-28.
Chen Qixin, Kang Chongqing, Xia Qing.Operation mechanism and peak-load shaving effects of carbon-capture power plant[J]. Proceedings of the CSEE, 2010, 30(7): 22-28.
[8] Lu Siyu, Lou Suhua, Wu Yaowu, et al.Power system economic dispatch under low-carbon economy with carbon capture plants considered[J]. IET Generation Transmission & Distribution, 2013, 7(9): 991-1001.
[9] 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.
[10] 孙慧娟, 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): 4040-4049.
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): 4040-4049.
[11] 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 energy-saving power generation dispatching optimized by carbon capture thermal power and cascade hydropower[J]. Power System Protection and Control, 2019, 47(15): 148-155.
[12] 康重庆,陈启鑫,夏清. 低碳电力系统理论与应用[M]. 北京: 科学出版社, 2019.
[13] 周任军, 孙洪, 唐夏菲, 等. 双碳量约束下风电-碳捕集虚拟电厂低碳经济调度[J]. 中国电机工程学报, 2018, 38(6): 1675-1683.
Zhou Renjun, Sun Hong, Tang Xiafei, et al.Low-carbon economic dispatch based on virtual power plant made up of carbon capture unit and wind power under double carbon constraint[J]. Proceedings of the CSEE, 2018, 38(6): 1675-1683.
[14] Manaf N A, Qadir A, Abbas A.Temporal multiscalar decision support framework for flexible operation of carbon capture plants targeting low-carbon management of power plant emissions[J]. Applied Energy, 2016, 169: 912-926.
[15] 郭通, 李永刚, 徐姗姗, 等. 考虑多主体博弈的火电机组灵活性改造规划[J]. 电工技术学报, 2020, 35(11): 2448-2459.
Guo Tong, Li Yonggang, Xu Shanshan, et al.Planning of flexibility retrofits of thermal power units considering multi-agent game[J]. Transactions of China Electrotechnical Society, 2020, 35(11): 2448-2459.
[16] 麻秀范, 王戈, 朱思嘉, 等. 计及风电消纳与发电集团利益的日前协调优化调度[J]. 电工技术学报, 2021, 36(3): 579-587.
Ma Xiufan, Wang Ge, Zhu Sijia, et al.Coordinated day-ahead optimal dispatch considering wind power consumption and the benefits of power generation group[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 579-587.
[17] 国家发展与改革委员会. 全国碳交易市场的配额分配方案(讨论稿)[EB/OL]. [2017-06-02]. http://www. cnenergynews.cn/hb/tpf/201706/t20170602_444547.html
[18] 娄素华, 张立静, 吴耀武, 等. 低碳经济下电动汽车集群与电力系统间的协调优化运行[J]. 电工技术学报, 2017, 32(5): 176-183.
Lou Suhua, Zhang Lijing, Wu Yaowu, et al.Coordination operation of electric vehicles and power system under low-carbon economy[J]. Transactions of China Electrotechnical Society, 2017, 32(5): 176-183.
[19] 朱晔, 兰贞波, 隗震, 等. 考虑碳排放成本的风光储多能互补系统优化运行研究[J]. 电力系统保护与控制, 2019, 47(10): 127-133.
Zhu Ye, Lan Zhenbo, Wei Zhen, et al.Research on optimal operation of wind-PV-ES complementary system considering carbon emission cost[J]. Power System Protection and Control, 2019, 47(10): 127-133.
[20] Zhang Wei, Li Jing, Li Guoxiang, et al.Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China[J]. Energy, 2020, 196: 1-9.
[21] 车泉辉, 娄素华, 吴耀武, 等. 计及条件风险价值的含储热光热电站与风电电力系统经济调度[J]. 电工技术学报, 2019, 34(10): 2047-2055.
Che Quanhui, Lou Suhua, Wu Yaowu, et al.Economic dispatching for power system of concentrated solar power plant with thermal energy storage and wind power considering conditional value-at-risk[J]. Transactions of China Electrotechnical Society, 2019, 34(10): 2047-2055.
[22] Zhang Ning, Kang Chongqing, Xia Qing, et al.A convex model of risk-based unit commitment for day-ahead market clearing considering wind power uncertainty[J]. IEEE Transactions on Power Systems, 2015, 30(3): 1582-1592.
[23] Wang Gang, You Daihai, Lou Suhua, et al.Economic valuation of low-load operation with auxiliary firing of coal-fired units[J]. Energies, 2017, 10(9): 1317.