计及P2G和CCS的园区级电-热-气综合能源系统多目标优化

doi:10.12204/j.issn.1000-7229.2020.12.009

摘要/Abstract

摘要：

碳捕集和可再生能源利用已经成为减少碳排放的重要措施。但捕集到的二氧化碳利用方式不明确,弃风弃光现象频发,限制了上述2种措施的减排效果。文章通过耦合电转气(power to gas, P2G)技术和碳捕集系统(carbon capture system,CCS),将其扩展到园区级电-热-气综合能源系统中,建立了一种高比例可再生能源渗透水平下的经济低碳多目标优化模型,在多情景下模拟分析了该综合能源系统在某工业园区的运行效果。结果表明,该耦合能源系统排放的大部分CO₂可以被有效捕获并送往P2G装置用于合成燃气,为利用CO₂提供了新的思路,同时显著提高了系统对可再生能源的消纳能力。对P2G设备容量的敏感性分析表明,单纯增加P2G容量虽然能减少弃能率,但会增加碳排放,因此对P2G的容量规划应当综合考虑可再生能源可用量与碳排放之间的关系。

关键词: 综合能源系统, 电转气(P2G), 碳捕集系统(CCS), 多目标优化, 改进熵权法

Abstract:

Carbon capture and renewable energy utilization have become effective measures to reduce carbon emission. However, the utilization of captured carbon dioxide is not clear and the curtailment of wind and solar power is serious, which limits the reduction effects. This paper couples the power to gas (P2G) technology and carbon capture system (CCS), and extends it into the park-level integrated energy system including electricity, heat and gas, and proposes an economic and low carbon scheduling model under the high renewable energy penetration level. Through the coupling of CCS and P2G, most of the CO2 emitted by the system can be captured and sent to synthesize gas, which provides a new idea for the reutilization of CO2 rather than storage. In addition, the simulation results also show that the presence of CCS and P2G significantly improves the system's ability to receive renewable energy. Sensitivity analysis of P2G capacity shows that increasing P2G capacity can reduce the energy curtailment rate, but cause more carbon emissions. Therefore, the capacity planning of P2G should comprehensively consider the relationship between renewable energy availability and carbon emissions.

Key words: integrated energy system, power to gas (P2G), carbon capture system(CCS), multi-objective optimization, improved entropy weight method

中图分类号:

TM732

张兴平, 张又中. 计及P2G和CCS的园区级电-热-气综合能源系统多目标优化[J]. 电力建设, 2020, 41(12): 92-101.

ZHANG Xingping, ZHANG Youzhong. Multi-objective Optimization Model for Park-Level Electricity-Heat-Gas Integrated Energy System Considering P2G and CCS[J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(12): 92-101.

图/表 14

图1 IES结构

Fig.1 Structure of an IES

图2 求解步骤

Fig.2 Solution steps

表1 情景设置

Table 1 Scenario setting

图3 典型日能源负荷

Fig.3 Energy load in a typical day

图4 典型日风、光条件

Fig.4 Wind and solar condition in a typical day

表2 电、热、气价格

Table 2 Prices of electricity, heat and gas

图5 电力调度情况及电储能系统SOC

Fig.5 Electric dispatch and SOC of ESS

图6 热力调度情况及热储能SOC

Fig.6 Heat dispatch and SOC of TSS

图7 燃气调度情况

Fig.7 Gas dispatch in Case 2 and 4

表3 购能成本表

Table 3 Dispatch cost of Case 1-4 元

图8 碳利用与排放

Fig.8 Carbon utilization and emission

图9 4种情景下的弃能情况

Fig.9 Renewable energy curtailment

图10 风能变化的敏感性分析结果

Fig.10 Sensitivity analysis of wind power

图11 P2G容量的敏感性分析结果

Fig.11 Sensitivity analysis of P2G capacity

参考文献 23

[1]	向海平. 中国可再生能源发电占全部电力装机比重达39%, 是全球能源转型的重要实践者[EB/OL]. (2019-11-19)[2020-02-15]. http://www.ceppc.org.cn/fzdt/hyqy/2019-11-19/673.html
[2]	JIN S W, LI Y P, HUANG G H, et al. Analyzing the performance of clean development mechanism for electric power systems under uncertain environment[J]. Renewable Energy, 2018,123:382-397. doi: 10.1016/j.renene.2018.02.066 URL
[3]	MUKHERJEE U, ELSHOLKAMI M, WALKER S, et al. Optimal sizing of an electrolytic hydrogen production system using an existing natural gas infrastructure[J]. International Journal of Hydrogen Energy, 2015,40(31):9760-9772. doi: 10.1016/j.ijhydene.2015.05.102 URL
[4]	BAILERA M, PEÑA B, LISBONA P, et al. Decision-making methodology for managing photovoltaic surplus electricity through power to gas: Combined heat and power in urban buildings[J]. Applied Energy, 2018,228:1032-1045. doi: 10.1016/j.apenergy.2018.06.128 URL
[5]	BAN M F, YU J L, SHAHIDEHPOUR M, et al. Integration of power-to-hydrogen in day-ahead security-constrained unit commitment with high wind penetration[J]. Journal of Modern Power Systems and Clean Energy, 2017,5(3):337-349. doi: 10.1007/s40565-017-0277-0 URL
[6]	YAO X, ZHONG P, ZHANG X, et al. Business model design for the carbon capture utilization and storage (CCUS) project in China[J]. Energy Policy, 2018,121:519-533. doi: 10.1016/j.enpol.2018.06.019 URL
[7]	YAN J Y, ZHANG Z E. Carbon capture, utilization and storage (CCUS)[J]. Applied Energy, 2019,235:1289-1299. doi: 10.1016/j.apenergy.2018.11.019 URL
[8]	ZHANG X, FAN J L, WEI Y M. Technology roadmap study on carbon capture, utilization and storage in China[J]. Energy Policy, 2013,59:536-550. doi: 10.1016/j.enpol.2013.04.005 URL
[9]	BETANCOURT-TORCAT A, PODDAR T, ALMANSOORI A. A realistic framework to a greener supply chain for electric vehicles[J]. International Journal of Energy Research, 2019,43(6):2369-2390. doi: 10.1002/er.4373 URL
[10]	刘阳升, 周任军, 李星朗, 等. 碳排放权交易下碳捕集机组的厂内优化运行[J]. 电网技术, 2013,37(2):295-300.
	LIU Yangsheng, ZHOU Renjun, LI Xinglang, et al. Inside-plant optimal operation of carbon capture unit under carbon emission right trade[J]. Power System Technology, 2013,37(2):295-300.
[11]	朱兰, 王吉, 唐陇军, 等. 计及电转气精细化模型的综合能源系统鲁棒随机优化调度[J]. 电网技术, 2019,43(1):116-126.
	ZHU Lan, WANG Ji, TANG Longjun, et al. Robust stochastic optimal dispatching of integrated energy systems considering refined power-to-gas model[J]. Power System Technology, 2019,43(1):116-126.
[12]	曾红, 刘天琪, 何川, 等. 含电转气设备的气电互联综合能源系统多目标优化[J]. 电测与仪表, 2019,56(8):99-107.
	ZENG Hong, LIU Tianqi, HE Chuan, et al. Multi-objective optimization for integrated natural-gas and electricity energy system considering power-to-gas[J]. Electrical Measurement & Instrumentation, 2019,56(8):99-107.
[13]	范梦琪, 刘建锋, 朱正航. 含电转气的电-气综合能源系统低碳经济调度策略[J]. 水电能源科学, 2019,37(10):204-208.
	FAN Mengqi, LIU Jianfeng, ZHU Zhenghang. Power-to-gas considered low-carbon economic dispatch for integrated electricity-gas energy system[J]. Water Resources and Power, 2019,37(10):204-208.
[14]	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.
[15]	MEHRJERDI H. Optimal correlation of non-renewable and renewable generating systems for producing hydrogen and methane by power to gas process[J]. International Journal of Hydrogen Energy, 2019,44(18):9210-9219. doi: 10.1016/j.ijhydene.2019.02.118 URL
[16]	REITER G, LINDORFER J. Evaluating CO₂ sources for power-to-gas applications: A case study for Austria[J]. Journal of CO₂ Utilization, 2015,10:40-49.
[17]	LEWANDOWSKA-BERNAT A, DESIDERI U. Opportunities of power-to-gas technology in different energy systems architectures[J]. Applied Energy, 2018,228:57-67. doi: 10.1016/j.apenergy.2018.06.001 URL
[18]	MCDONAGH S, O’SHEA R, WALL D M, et al. Modelling of a power-to-gas system to predict the levelised cost of energy of an advanced renewable gaseous transport fuel[J]. Applied Energy, 2018,215:444-456. doi: 10.1016/j.apenergy.2018.02.019 URL
[19]	刘志谱, 李欣然, 刘小龙, 等. 考虑负荷重要性与源-荷互补性的负荷恢复策略[J]. 全球能源互联网, 2019,2(5):449-456.
	LIU Zhipu, LI Xinran, LIU Xiaolong, et al. Load recovery strategy considering importance and source-load complementarity[J]. Journal of Global Energy Interconnection, 2019,2(5):449-456.
[20]	欧阳森, 石怡理. 改进熵权法及其在电能质量评估中的应用[J]. 电力系统自动化, 2013,37(21):156-159, 164. doi: 10.7500/AEPS201210206 URL
	OUYANG Sen, SHI Yili. A new improved entropy method and its application in power quality evaluation[J]. Automation of Electric Power Systems, 2013,37(21):156-159, 164. doi: 10.7500/AEPS201210206 URL
[21]	QADIR A, SHARMA M, PARVAREH F, et al. Flexible dynamic operation of solar-integrated power plant with solvent based post-combustion carbon capture (PCC) process[J]. Energy Conversion and Management, 2015,97:7-19. doi: 10.1016/j.enconman.2015.02.074 URL
[22]	PARRA D, ZHANG X J, BAUER C, et al. An integrated techno-economic and life cycle environmental assessment of power-to-gas systems[J]. Applied Energy, 2017,193:440-454. doi: 10.1016/j.apenergy.2017.02.063 URL
[23]	JI Z, KANG C Q, CHEN Q X, et al. Low-carbon power system dispatch incorporating carbon capture power plants[J]. IEEE Transactions on Power Systems, 2013,28(4):4615-4623. doi: 10.1109/TPWRS.2013.2274176 URL