Low-Carbon Operational Optimization of Integrated Electricity-Heat-Gas Energy System Considering Concentrating Solar Power Plant and Oxygen-Enriched Combustion Capture Technology
Yun Yunyun, Zhang Dahai, Wang Xiaojun, Ni Pinghao, He Jinghan
School of Electrical Engineering Beijing Jiaotong University Beijing 100044 China
Abstract:With the increasingly prominent contradiction between energy demand and environmental pollution, how to reduce carbon emissions from traditional energy sources has become a key issue for energy conservation and emission reduction. Carbon capture technology is one of the important technical paths to cope with climate change. The most commonly used carbon capture technologies are still the post-combustion capture technology and the pre-combustion capture technology. The post-combustion capture technology has the disadvantages of large footprint and low capture cost. The pre-combustion capture technology has the disadvantages of complex modification process and low technical applicability. As a new carbon capture technology, the oxy-fuel combustion capture (OCC) technology can effectively integrate the advantages of the above two carbon capture technologies and has a good application prospect. For this reason, the OCC technology is introduced to modify the gas unit and equips concentrating solar power (CSP) plant with heat recovery device so as to realize thermoelectric decoupling and auxiliary energy supply. With the energy conversion facilities like power to gas device and gas boiler to form an integrated energy system, a low-carbon optimization method of integrated electricity-heat-gas energy system is proposed. Firstly, according to the concept of low-carbon energy supply and multi-energy coupling, the structure of integrated electricity-heat-gas energy system is established. The feasibility of combined heat and power operation of CSP plant is analyzed, and the mathematical model of CSP plant is constructed. Then, based on the energy flow direction of the OCC unit, the net output power equation and the electric-carbon characteristic equation of OCC unit are established, and the coordinated operation principle of OCC unit and CSP plant is analyzed. In addition, the operation potential of the power-to-gas (P2G) device is further explored, and the mathematical model of the P2G device is constructed by considering the reaction waste heat and oxygen recovery. On this basis, the reward and punishment ladder-type carbon trading mechanism is introduced to limit carbon emissions, and a low-carbon economic dispatch model of integrated electricity-heat-gas energy system is established. Finally, the effectiveness and economy of the proposed scheme are verified by the analysis of basic operation results, multi-scenario comparison verification and influence analysis of parameter changes. The following conclusions can be drawn from the simulation analysis: (1) The coordinated operation of OCC unit and CSP plant can meet the multi-energy demand of the system, realize the two-way conversion of multiple energy, and improve the flexibility and economy of the system. (2) The CSP pant with heat recovery device can realize the operation of 'combined heat and power' and the circulation of heat energy, which improves the continuous operation ability and energy utilization efficiency of CSP plant. (3) After the low-carbon transformation of gas turbines by OCC technology, the output range and operation cleanliness can be effectively improved, and the combination of OCC units and power-to-gas equipment can realize carbon resource circulation. (4) The P2G device has a variety of energy supply potential, and the change of operating efficiency will affect the operational cost and oxygen energy consumption of the system. (5) The change of light intensity has obvious influence on the operation capacity of CSP power station and the operation plan of OCC unit.
贠韫韵, 张大海, 王小君, 倪平浩, 和敬涵. 考虑光热电站及富氧燃烧捕集技术的电热气综合能源系统低碳运行优化[J]. 电工技术学报, 2023, 38(24): 6709-6726.
Yun Yunyun, Zhang Dahai, Wang Xiaojun, Ni Pinghao, He Jinghan. Low-Carbon Operational Optimization of Integrated Electricity-Heat-Gas Energy System Considering Concentrating Solar Power Plant and Oxygen-Enriched Combustion Capture Technology. Transactions of China Electrotechnical Society, 2023, 38(24): 6709-6726.
[1] 熊宇峰, 司杨, 郑天文, 等. 基于主从博弈的工业园区综合能源系统氢储能优化配置[J]. 电工技术学报, 2021, 36(3): 507-516. Xiong Yufeng, Si Yang, Zheng Tianwen, et al.Optimal configuration of hydrogen storage in industrial park integrated energy system based on stackelberg game[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 507-516. [2] 王怡, 王小君, 孙庆凯, 等. 基于能量共享的综合能源系统群多主体实时协同优化策略[J]. 电力系统自动化, 2022, 46(4): 56-65. Wang Yi, Wang Xiaojun, Sun Qingkai, et al.Multi-agent real-time collaborative optimization strategy for integrated energy system group based on energy sharing[J]. Automation of Electric Power Systems, 2022, 46(4): 56-65. [3] 张大海, 贠韫韵, 王小君, 等. 计及光热电站及建筑热平衡的冷热电综合能源系统优化运行[J]. 高电压技术, 2022, 48(7): 2505-2514. Zhang Dahai, Yun Yunyun, Wang Xiaojun, et al.Operational optimization of integrated cooling, heating and power energy system considering concentrating solar power plant and heat balance of building[J]. High Voltage Engineering, 2022, 48(7): 2505-2514. [4] 刁涵彬, 李培强, 吕小秀, 等. 考虑多元储能差异性的区域综合能源系统储能协同优化配置[J]. 电工技术学报, 2021, 36(1): 151-165. Diao Hanbin, Li Peiqiang, Lü Xiaoxiu, et al.Coordinated optimal allocation of energy storage in regional integrated energy system considering the diversity of multi-energy storage[J]. Transactions of China Electrotechnical Society, 2021, 36(1): 151-165. [5] Wang Yuwei, Tang Liu, Yang Yuanjuan, et al.A stochastic-robust coordinated optimization model for CCHP micro-grid considering multi-energy operation and power trading with electricity markets under uncertainties[J]. Energy, 2020, 198: 117273. [6] 林顺富, 刘持涛, 李东东, 等. 考虑电能交互的冷热电区域多微网系统双层多场景协同优化配置[J]. 中国电机工程学报, 2020, 40(5): 1409-1421. Lin Shunfu, Liu Chitao, Li Dongdong, et al.Bi-level multiple scenarios collaborative optimization configuration of CCHP regional multi-microgrid system considering power interaction among microgrids[J]. Proceedings of the CSEE, 2020, 40(5): 1409-1421. [7] Al Baroudi H, Awoyomi A, Patchigolla K, et al.A review of large-scale CO2 shipping and marine emissions management for carbon capture, utilisation and storage[J]. Applied Energy, 2021, 287: 116510. [8] 张贤, 李阳, 马乔, 等. 我国碳捕集利用与封存技术发展研究[J]. 中国工程科学, 2021, 23(6): 70-80. Zhang Xian, Li Yang, Ma Qiao, et al.Development of carbon capture, utilization and storage technology in China[J]. Strategic Study of CAE, 2021, 23(6): 70-80. [9] Otitoju O, Oko E, Wang Meihong.Technical and economic performance assessment of post-combustion carbon capture using piperazine for large scale natural gas combined cycle power plants through process simulation[J]. Applied Energy, 2021, 292: 116893. [10] 袁桂丽, 刘骅骐, 禹建芳, 等. 含碳捕集热电机组的虚拟电厂热电联合优化调度[J]. 中国电机工程学报, 2022, 42(12): 4440-4449. Yuan Guili, Liu Huaqi, Yu Jianfang, et al.Combined heat and power optimal dispatching in virtual power plant with carbon capture cogeneration unit[J]. Proceedings of the CSEE, 2022, 42(12): 4440-4449. [11] 程耀华, 杜尔顺, 田旭, 等. 电力系统中的碳捕集电厂: 研究综述及发展新动向[J]. 全球能源互联网, 2020, 3(4): 339-350. Cheng Yaohua, Du Ershun, Tian Xu, et al.Carbon capture power plants in power systems: review and latest research trends[J]. Journal of Global Energy Interconnection, 2020, 3(4): 339-350. [12] 高大明, 陈鸿伟, 杨建蒙, 等. 循环流化床锅炉富氧燃烧与CO2捕集发电机组运行能耗影响因素分析[J]. 中国电机工程学报, 2019, 39(5): 1387-1397. Gao Daming, Chen Hongwei, Yang Jianmeng, et al.Influence factor analysis of circulating fluidized bed boiler oxy-fuel combustion and CO2 capture power generation unit operation energy consumption[J]. Proceedings of the CSEE, 2019, 39(5): 1387-1397. [13] Vu T T, Lim Y I, Song D, et al.Techno-economic analysis of ultra-supercritical power plants using air- and oxy-combustion circulating fluidized bed with and without CO2 capture[J]. Energy, 2020, 194: 116855. [14] 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. [15] 秦婷, 刘怀东, 王锦桥, 等. 基于碳交易的电—热—气综合能源系统低碳经济调度[J]. 电力系统自动化, 2018, 42(14): 8-13, 22. Qin Ting, Liu Huaidong, Wang Jinqiao, et al.Carbon trading based low-carbon economic dispatch for integrated electricity-heat-gas energy system[J]. Automation of Electric Power Systems, 2018, 42(14): 8-13, 22. [16] 高晗, 李正烁. 考虑电转气响应特性与风电出力不确定性的电-气综合能源系统协调调度[J]. 电力自动化设备, 2021, 41(9): 24-30. Gao Han, Li Zhengshuo.Coordinated scheduling of integrated electricity-gas energy system considering response characteristic of power-to-gas and wind power uncertainty[J]. Electric Power Automation Equipment, 2021, 41(9): 24-30. [17] 贠韫韵, 董海鹰, 陈钊, 等. 考虑随机性及光热电站参与的多源发电系统两阶段随机优化调度[J]. 电力系统保护与控制, 2020, 48(4): 30-38. Yun Yunyun, Dong Haiying, Chen Zhao, et al.A two-stage stochastic scheduling optimization for multi-source power system considering randomness and concentrating solar power plant participation[J]. Power System Protection and Control, 2020, 48(4): 30-38. [18] 张尧翔, 刘文颖, 庞清仑, 等. 高比例风电接入系统光热发电-火电旋转备用优化方法[J]. 电工技术学报, 2022, 37(21): 5478-5489. Zhang Yaoxiang, Liu Wenying, Pang Qinglun, et al.Optimal power spinning reserve method of concentrating solar power and thermal power for high-proportion wind power system[J]. Transactions of China Electrotechnical Society, 2022, 37(21): 5478-5489. [19] 张大海, 贠韫韵, 王小君, 等. 考虑广义储能及光热电站的电热气互联综合能源系统经济调度[J]. 电力系统自动化, 2021, 45(19): 33-42. Zhang Dahai, Yun Yunyun, Wang Xiaojun, et al.Economic dispatch of integrated electricity-heat-gas energy system considering generalized energy storage and concentrating solar power plant[J]. Automation of Electric Power Systems, 2021, 45(19): 33-42. [20] 董海鹰, 贠韫韵, 马志程, 等. 计及多能转换及光热电站参与的综合能源系统低碳优化运行[J]. 电网技术, 2020, 44(10): 3689-3700. Dong Haiying, Yun Yunyun, Ma Zhicheng, et al.Low-carbon optimal operation of integrated energy system considering multi-energy conversion and concentrating solar power plant participation[J]. Power System Technology, 2020, 44(10): 3689-3700. [21] 刘杰. 35MWth富氧燃烧风烟系统建模与仿真研究[D]. 武汉: 华中科技大学, 2016. [22] 吕泉, 陈天佑, 王海霞, 等. 热电厂参与风电调峰的方法评述及展望[J]. 中国电力, 2013, 46(11): 129-136, 141. Lv Quan, Chen Tianyou, Wang Haixia, et al.Review and perspective of integrating wind power into CHP power system for peak regulation[J]. Electric Power, 2013, 46(11): 129-136, 141. [23] Ju Liwei, Tan Zhongfu, Yuan Jinyun, et al.A bi-level stochastic scheduling optimization model for a virtual power plant connected to a wind-photovoltaic-energy storage system considering the uncertainty and demand response[J]. Applied Energy, 2016, 171: 184-199. [24] 赵冬梅, 王浩翔, 陶然. 计及风电-负荷不确定性的风-火-核-碳捕集多源协调优化调度[J]. 电工技术学报, 2022, 37(3): 707-718. Zhao Dongmei, Wang Haoxiang, Tao Ran.A multi-source coordinated optimal scheduling model considering wind-load uncertainty[J]. Transactions of China Electrotechnical Society, 2022, 37(3): 707-718. [25] Chen Zexing, Zhang Yongjun, Ji Tianyao, et al.Coordinated optimal dispatch and market equilibrium of integrated electric power and natural gas networks with P2G embedded[J]. Journal of Modern Power Systems and Clean Energy, 2018, 6(3): 495-508. [26] Schaaf T, Grünig J, Schuster M R, et al.Methanation of CO2-storage of renewable energy in a gas distribution system[J]. Energy, Sustainability and Society, 2014, 4(1): 1-14. [27] 周任军, 肖钧文, 唐夏菲, 等. 电转气消纳新能源与碳捕集电厂碳利用的协调优化[J]. 电力自动化设备, 2018, 38(7): 61-67. Zhou Renjun, Xiao Junwen, Tang Xiafei, et al.Coordinated optimization of carbon utilization between power-to-gas renewable energy accommodation and carbon capture power plant[J]. Electric Power Automation Equipment, 2018, 38(7): 61-67. [28] 瞿凯平, 黄琳妮, 余涛, 等. 碳交易机制下多区域综合能源系统的分散调度[J]. 中国电机工程学报, 2018, 38(3): 697-707. Qu Kaiping, Huang Linni, Yu Tao, et al.Decentralized dispatch of multi-area integrated energy systems with carbon trading[J]. Proceedings of the CSEE, 2018, 38(3): 697-707. [29] 赖林琛, 周强, 杜文娟, 等. 同型光热发电机并联聚合对光热发电场振荡稳定性影响[J]. 电工技术学报, 2022, 37(1): 179-191, 231. Lai Linchen, Zhou Qiang, Du Wenjuan, et al.Impact of dynamic aggregation of same concentrating solar power generators in parallel connection on the oscillation stability of a CSP plant[J]. Transactions of China Electrotechnical Society, 2022, 37(1): 179-191, 231.