计及特高压交流工程建设的区域碳减排测算及分摊

doi:10.11930/j.issn.1004-9649.202305128

摘要/Abstract

摘要：

在“双碳”目标下，特高压交流工程凭借其先进的技术手段，在消纳清洁能源、降低传输损失方面将发挥更大作用，但对特高压交流工程减碳效益的研究较少。以负荷落点区域为研究对象，提出了特高压交流工程运行减碳效益的量化方法。首先，对送受两端电力潮流分布进行模拟计算，确定输电通道潮流比例；其次，对电源区域进行电量平衡分析，确定工程输送清洁能源电量，结合碳排放因子测算负荷区域碳减排量，利用Shapley值根据贡献度计算工程的减碳效益；最后，以实际工程为例进行算例分析。结果表明，特高压交流工程能够通过提升清洁能源消纳能力减少碳排放。

关键词: 特高压交流工程, 时序生产模拟, 潮流分析, Shapley值

Abstract:

Under the "dual carbon" goal, the ultra-high voltage (UHV) AC project, with its advanced technological means, will play a greater role in consuming clean energy and reducing transmission losses. Considering that there is relatively little research on the carbon reduction benefits of UHV AC projects. this paper proposes a quantitative method for evaluating the carbon reduction benefits of UHV AC projects, taking the load landing area as the research object. Firstly, the distribution of power flow at both ends of the transmission and reception is simulated to determine the power flow proportion of the transmission channel. Secondly, an analysis is conducted on the electricity balance of the power supply area to determine the amount of clean energy transmitted by the UHV AC project. The carbon reduction emissions in the load area is calculated based on carbon emission factors, and the Shapley value is used to calculate the carbon reduction benefits of the UHV AC project based on its contribution. Finally, an actual project is taken as an example for numerical analysis. The results indicate that the UHV AC project can reduce carbon emissions by improving the ability to accommodate clean energy.

Key words: UHV AC project, time series production simulation, power flow calculation, Shapley value

王硕, 霍慧娟, 徐丹, 郄鑫, 辛诚, 李薇薇, 段婧. 计及特高压交流工程建设的区域碳减排测算及分摊[J]. 中国电力, 2024, 57(7): 163-172.

Shuo WANG, Huijuan HUO, Dan XU, Xin QIE, Cheng XIN, Weiwei LI, Jing DUAN. Calculation and Sharing of Regional Carbon Emission Reduction Considering Construction of Ultra High Voltage AC Projects[J]. Electric Power, 2024, 57(7): 163-172.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202305128

https://www.electricpower.com.cn/CN/Y2024/V57/I7/163

图/表 14

参考文献 28

1	任大伟, 侯金鸣, 肖晋宇, 等. 支撑双碳目标的新型储能发展潜力及路径研究[J]. 中国电力, 2023, 56 (8): 17- 25.
	REN Dawei, HOU Jinming, XIAO Jinyu, et al. Research on development potential and path of new energy storage supporting carbon peak and carbon neutrality[J]. Electric Power, 2023, 56 (8): 17- 25.
2	谭显东, 刘俊, 徐志成, 等. “双碳” 目标下“十四五” 电力供需形势[J]. 中国电力, 2021, 54 (5): 1- 6.
	TAN Xiandong, LIU Jun, XU Zhicheng, et al. Power supply and demand balance during the 14th five-year plan period under the goal of carbon emission peak and carbon neutrality[J]. Electric Power, 2021, 54 (5): 1- 6.
3	陈怡, 田川, 曹颖, 等. 中国电力行业碳排放达峰及减排潜力分析[J]. 气候变化研究进展, 2020, 16 (5): 632- 640.
	CHEN Yi, TIAN Chuan, CAO Ying, et al. Research on peaking carbon emissions of power sector in China and the emissions mitigation analysis[J]. Climate Change Research, 2020, 16 (5): 632- 640.
4	李政, 陈思源, 董文娟, 等. 碳约束条件下电力行业低碳转型路径研究[J]. 中国电机工程学报, 2021, 41 (12): 3987- 4001.
	LI Zheng, CHEN Siyuan, DONG Wenjuan, et al. Low carbon transition pathway of power sector under carbon emission constraints[J]. Proceedings of the CSEE, 2021, 41 (12): 3987- 4001.
5	国家发展改革委环资司召开碳排放核算专家座谈会[J]. 江西建材, 2021(04): 3.
6	李春焕, 曹阿林. 铝电解工业碳排放核算方法[J]. 有色金属(冶炼部分), 2023, (3): 47- 52.
	LI Chunhuan, CAO Alin. Carbon emission accounting methods for aluminum electrolysis industry[J]. Nonferrous Metals (Extractive Metallurgy), 2023, (3): 47- 52.
7	杨本晓, 姜涛, 刘夏青. 基于投入产出法的中国造纸工业碳排放核算[J]. 中国造纸, 2023, 42 (6): 120- 125. DOI
	YANG Benxiao, JIANG Tao, LIU Xiaqing. Carbon emission accounting of China’s paper industry based on the input-output analyses[J]. China Pulp & Paper, 2023, 42 (6): 120- 125. DOI
8	杨本晓, 梁思哲, 刘夏青. 基于投入产出法的中国化石能源加工业碳排放核算[J]. 环境保护, 2023, 51 (S2): 18- 21.
	YANG Benxiao, LIANG Sizhe, LIU Xiaqing. Carbon emissions in the Chinese fossil energy industries based on input output analyses[J]. Environmental Protection, 2023, 51 (S2): 18- 21.
9	李春焕, 曹阿林. 氧化铝工业碳排放核算方法[J]. 有色金属(冶炼部分), 2023, (5): 26- 31, 91.
	LI Chunhuan, CAO Alin. Carbon emission accounting methods of alumina industry[J]. Nonferrous Metals (Extractive Metallurgy), 2023, (5): 26- 31, 91.
10	朱振兴. 燃煤电厂碳排放的核算方法对比分析[J]. 中国资源综合利用, 2023, 41 (4): 165- 167. DOI
	ZHU Zhenxing. Comparative analysis of accounting methods for carbon emissions from coal-fired power plants[J]. China Resources Comprehensive Utilization, 2023, 41 (4): 165- 167. DOI
11	张宁, 李姚旺, 黄俊辉, 等. 电力系统全环节碳计量方法与碳表系统[J]. 电力系统自动化, 2023, 47 (9): 2- 12. DOI
	ZHANG Ning, LI Yaowang, HUANG Junhui, et al. Carbon measurement method and carbon meter system for whole chain of power system[J]. Automation of Electric Power Systems, 2023, 47 (9): 2- 12. DOI
12	汪超群, 陈懿, 文福拴, 等. 电力系统碳排放流理论改进与完善[J]. 电网技术, 2022, 46 (5): 1683- 1693.
	WANG Chaoqun, CHEN Yi, WEN Fushuan, et al. Improvement and perfection of carbon emission flow theory in power systems[J]. Power System Technology, 2022, 46 (5): 1683- 1693.
13	段力勇, 李方勇, 王庆红, 等. 电网企业碳排放核算与配额分配方法研究[J]. 能源与环保, 2018, 40 (12): 127- 131.
	DUAN Liyong, LI Fangyong, WANG Qinghong, et al. Study on carbon emission quantification and quota allocation methods of power grid enterprise[J]. China Energy and Environmental Protection, 2018, 40 (12): 127- 131.
14	SUN Y L, KANG C Q, XIA Q, et al. Analysis of transmission expansion planning considering consumption-based carbon emission accounting[J]. Applied Energy, 2017, 193, 232- 242. DOI
15	田欣, 陈来军, 李笑竹, 等. 基于主从博弈和改进Shapley值的分布式光伏社区共享储能优化运行策略[J]. 电网技术, 2023, 47 (6): 2252- 2261.
	TIAN Xin, CHEN Laijun, LI Xiaozhu, et al. Optimal scheduling for energy storage sharing among communities with photovoltaic resource based on stackelberg game and improved shapley value[J]. Power System Technology, 2023, 47 (6): 2252- 2261.
16	蒋从伟, 欧庆和, 吴仲超, 等. 基于联盟博弈的多微网共享储能联合配置与优化[J]. 中国电力, 2022, 55 (12): 11- 21.
	JIANG Congwei, OU Qinghe, WU Zhongchao, et al. Joint configuration and optimization of multi-microgrid shared energy storage based on coalition game[J]. Electric Power, 2022, 55 (12): 11- 21.
17	张爱国, 霍晓谦, 李佳佳, 等. 基于Shapley值法的再生水回用利益分配机制研究[J]. 水电能源科学, 2022, 40 (4): 58- 61.
	ZHANG Aiguo, HUO Xiaoqian, LI Jiajia, et al. Study on benefit allocation mechanism of reclaimed water reuse based on shapley value method[J]. Water Resources and Power, 2022, 40 (4): 58- 61.
18	刘振亚. 中国特高压交流输电技术创新[J]. 电网技术, 2013, 37 (3): 567- 574.
	LIU Zhenya. Innovation of UHVAC transmission technology in China[J]. Power System Technology, 2013, 37 (3): 567- 574.
19	徐菁, 李妍, 刘一鸣, 等. 基于相对靶心度的区域电网低碳发展潜力评估[J]. 中国电机工程学报, 2023, 43 (4): 1281- 1290.
	XU Jing, LI Yan, LIU Yiming, et al. Assessment of low-carbon development potential of regional power grid based on relative off-targets distance[J]. Proceedings of the CSEE, 2023, 43 (4): 1281- 1290.
20	王梓珺, 王承民, 谢宁. 基于柔性计算的高比例新能源环境下的电力电量平衡[J]. 智慧电力, 2021, 49 (8): 15- 22. DOI
	WANG Zijun, WANG Chengmin, XIE Ning. Electric power and energy balance based on flexible computing in energy Internet with high proportion of new energy[J]. Smart Power, 2021, 49 (8): 15- 22. DOI
21	朱俊澎, 施凯杰, 李强, 等. 考虑输电网潮流约束的时序生产模拟及新能源消纳能力评估[J]. 电网技术, 2022, 46 (5): 1947- 1955.
	ZHU Junpeng, SHI Kaijie, LI Qiang, et al. Time series production simulation and renewable energy accommodation capacity evaluation considering transmission network power flow constraints[J]. Power System Technology, 2022, 46 (5): 1947- 1955.
22	高澈, 牛东晓, 马明, 等. 大规模新能源区域互联消纳能力分析及综合评价方法研究[J]. 中国电力, 2017, 50 (7): 56- 63.
	GAO Che, NIU Dongxiao, MA Ming, et al. Accommodating capability analysis and comprehensive assessment method of large-scale new energy areas interconnected[J]. Electric Power, 2017, 50 (7): 56- 63.
23	李湃, 王伟胜, 黄越辉, 等. 大规模新能源基地经特高压直流送出系统中长期运行方式优化方法[J]. 电网技术, 2023, 47 (1): 31- 44.
	LI Pai, WANG Weisheng, HUANG Yuehui, et al. Method on optimization of medium and long term operation modes of large-scale renewable energy power base through UHVDC system[J]. Power System Technology, 2023, 47 (1): 31- 44.
24	赵书强, 索璕, 许朝阳, 等. 考虑断面约束的多能源电力系统时序性生产模拟[J]. 电力自动化设备, 2021, 41 (7): 1- 6.
	ZHAO Shuqiang, SUO Xun, XU Zhaoyang, et al. Time series production simulation of multi-energy power system considering section constraints[J]. Electric Power Automation Equipment, 2021, 41 (7): 1- 6.
25	刘文霞, 王丽娜, 张帅, 等. 基于合作博弈论的日前自备电厂与风电发电权交易模型[J]. 电网技术, 2022, 46 (7): 2647- 2658.
	LIU Wenxia, WANG Lina, ZHANG Shuai, et al. Cooperation game theory-based model for trading of power generation rights between former captive power plants and wind power[J]. Power System Technology, 2022, 46 (7): 2647- 2658.
26	陶良彦, 王丽, 齐晓霞, 等. 武器装备体系贡献率评估灰色Shapley值模型[J]. 中国管理科学, 2024, 32 (4): 89- 96.
	TAO Liangyan, WANG Li, QI Xiaoxia, et al. Grey Shapley value model for evaluating the contribution rate of weapon and Equipment Systems[J]. Chinese Management Science, 2024, 32 (4): 89- 96.
27	陈岑, 武传涛, 康慨, 等. 基于改进Owen值法的分布式储能双层合作博弈优化策略[J]. 中国电机工程学报, 2022, 42 (11): 3924- 3936.
	CHEN Cen, WU Chuantao, KANG Kai, et al. Optimal strategy of distributed energy storage two-layer cooperative game based on improved owen-value method[J]. Proceedings of the CSEE, 2022, 42 (11): 3924- 3936.
28	王永利, 刘振, 薛露, 等. 基于多主体博弈的综合能源系统运行优化方法[J]. 控制理论与应用, 2022, 39 (3): 499- 508. DOI
	WANG Yongli, LIU Zhen, XUE Lu, et al. Optimization method of integrated energy system operation based on multi-body game[J]. Control Theory & Applications, 2022, 39 (3): 499- 508. DOI

运行方式和时段	特高压通道潮流/ 万kW	500 kV 通道潮流/ 万kW	特高压通道潮流占比/%	500 kV 通道潮流占比/%
2025年夏季低谷	267	620	30	70
2025年夏季腰荷	318	728	30	70
2025年夏季高峰	352	805	30	70
2025年汛期高峰	376	816	32	68
2025年夏季风电大发	346	799	30	70
2030年夏季高峰	515	685	43	57
2030年汛期高峰	524	702	43	57
2030年夏季风电大发	548	742	42	58

运行方式和时段	特高压通道潮流/ 万kW	500 kV 通道潮流/ 万kW	特高压通道潮流占比/%	500 kV 通道潮流占比/%
2025年夏季低谷	267	620	30	70
2025年夏季腰荷	318	728	30	70
2025年夏季高峰	352	805	30	70
2025年汛期高峰	376	816	32	68
2025年夏季风电大发	346	799	30	70
2030年夏季高峰	515	685	43	57
2030年汛期高峰	524	702	43	57
2030年夏季风电大发	548	742	42	58

场景	年份	北电南送通道断面电量	特高压通道电量	特高压通道清洁电量
不外送	2025	645	194	107
不外送	2030	763	320	224
外送100亿kW·h	2025	603	181	100
外送100亿kW·h	2030	719	302	211
外送150亿kW·h	2025	582	175	96
外送150亿kW·h	2030	697	293	205

场景	年份	北电南送通道断面电量	特高压通道电量	特高压通道清洁电量
不外送	2025	645	194	107
不外送	2030	763	320	224
外送100亿kW·h	2025	603	181	100
外送100亿kW·h	2030	719	302	211
外送150亿kW·h	2025	582	175	96
外送150亿kW·h	2030	697	293	205

场景	年份	煤电	清洁电源	其他火电	合计
不外送	2025	736	352	179	1267
不外送	2030	737	383	216	1336
外送100亿kW·h	2025	724	399	186	1309
外送100亿kW·h	2030	716	441	223	1380
外送150亿kW·h	2025	718	422	190	1330
外送150亿kW·h	2030	705	470	226	1402