考虑碳税与碳交易替代效应的电力系统低碳经济调度方法

doi:10.12204/j.issn.1000-7229.2022.06.001

电力建设 ›› 2022, Vol. 43 ›› Issue (6): 1-11.doi: 10.12204/j.issn.1000-7229.2022.06.001

• 双碳目标驱动下的能源电力经济与市场机制·栏目主特文福栓教授、刘敦楠教授 • 上一篇下一篇

考虑碳税与碳交易替代效应的电力系统低碳经济调度方法

张菁¹(), 林毓军²^,³(), 齐晓光¹(), 苗世洪²^,³(), 张倩茅¹(), 董家盛¹(), 陈宇¹()

1.国网河北省电力有限公司经济技术研究院,石家庄市 050024
2.强电磁工程与新技术国家重点实验室(华中科技大学电气与电子工程学院),武汉市 430074
3.电力安全与高效湖北省重点实验室(华中科技大学电气与电子工程学院),武汉市 430074

收稿日期:2021-12-29 出版日期:2022-06-01 发布日期:2022-05-31
通讯作者: 林毓军 E-mail:48674857@qq.com;lyj13971224997@qq.com;qxgb15@sina.com;shmiao@hust.edu.cn;562841493@qq.com;djsqqp@163.com;hebcheny@163.com
作者简介:张菁(1980),男,硕士,正高级工程师,主要研究方向为电网规划设计、新能源并网及消纳分析,E-mail:48674857@qq.com
齐晓光(1989),男,硕士,工程师,主要研究方向为电网规划设计、新能源并网及消纳分析,E-mail:qxgb15@sina.com
苗世洪(1963),男,博士,教授,博导,主要研究方向为电力系统保护与控制、配电网及微电网新技术、电网智能调度与自动化技术、压缩空气储能建模及应用等,E-mail:shmiao@hust.edu.cn
张倩茅(1984),女,硕士,高级工程师,主要研究方向为电网规划设计、新能源并网及消纳分析,E-mail:562841493@qq.com
董家盛(1996),男,硕士,工程师,主要研究方向为电网规划设计、新能源并网及消纳分析,E-mail:djsqqp@163.com
陈宇(1994),男,硕士,工程师,主要研究方向为电网规划设计、新能源并网及消纳分析,E-mail:hebcheny@163.com
基金资助:
国网河北省电力有限公司科技项目(B704JY210069)

Low-Carbon Economic Dispatching Method for Power System Considering the Substitution Effect of Carbon Tax and Carbon Trading

ZHANG Jing¹(), LIN Yujun²^,³(), QI Xiaoguang¹(), MIAO Shihong²^,³(), ZHANG Qianmao¹(), DONG Jiasheng¹(), CHEN Yu¹()

1. Economic Research Institute of State Grid Hebei Electric Power Company, Shijiazhuang 050024, China
2. State Key Laboratory of Advanced Electromagnetic Engineering and Technology (School of Electrical and Electronic Engineering of Huazhong University of Science and Technology),Wuhan 430074, China
3. Hubei Electric Power Security and High Efficiency Key Laboratory(School of Electrical and Electronic Engineering of Huazhong University of Science and Technology), Wuhan 430074, China

Received:2021-12-29 Online:2022-06-01 Published:2022-05-31
Contact: LIN Yujun E-mail:48674857@qq.com;lyj13971224997@qq.com;qxgb15@sina.com;shmiao@hust.edu.cn;562841493@qq.com;djsqqp@163.com;hebcheny@163.com
Supported by:
State Grid Hebei Electric Power Company Research Program(B704JY210069)

摘要/Abstract

摘要：

随着碳达峰、碳中和目标的提出,政府主导的碳规制强度日益增大。电力系统作为碳减排主体,将面临碳税与碳交易复合型碳减排政策的约束。研究计及碳税与碳交易替代效应的电力系统低碳经济调度方法,能够协调提升系统运行的低碳性和经济性,具有重要的理论与现实意义。首先在分析碳交易价格波动特征的基础上,采用随机场景法描述碳交易价格不确定性,进而对阶梯型碳税与碳交易替代效应进行建模。之后,建立协调优化碳捕集设备和储能电站的系统两阶段低碳经济调度模型,并结合分段函数线性化和蝙蝠算法对模型进行优化求解。最后,基于某地区的实际参数开展仿真分析,算例结果表明所提模型能够有效提升系统运行的低碳经济水平。

关键词: 碳交易, 碳价不确定性, 阶梯型碳税, 替代效应, 低碳经济调度

Abstract:

With the proposal of carbon peak and carbon neutrality, the intensity of government-led carbon regulation is increasing. As the main body of carbon emission reduction, the power system will face the constraint of carbon tax and carbon trading combined carbon emission reduction policy. The low-carbon economic dispatch method for power system is studied, which takes into account the substitution effect of carbon tax and carbon trading, can coordinate and improve the low-carbon and economic efficiency of system operation, and has important theoretical and practical significance. On the basis of the analysis on the characteristics of carbon trading price fluctuations, this paper firstly uses the random scenario method to describe the uncertainty of carbon trading prices, and then models the step-type carbon tax and the substitution effect of carbon trading. After that, a two-stage low-carbon economic scheduling model of coordinated optimization of carbon capture equipment and energy storage power station is established, and the model is solved by piecewise function linearization and bat algorithm. Finally, a simulation analysis is carried out applying the actual parameters of a certain area. The numerical results show that the proposed model can effectively improve the low carbon economic level of system operation.

Key words: carbon trading, carbon price uncertainty, step-type carbon tax, substitution effect, low carbon economic dispatching

中图分类号:

TM732

张菁, 林毓军, 齐晓光, 苗世洪, 张倩茅, 董家盛, 陈宇. 考虑碳税与碳交易替代效应的电力系统低碳经济调度方法[J]. 电力建设, 2022, 43(6): 1-11.

ZHANG Jing, LIN Yujun, QI Xiaoguang, MIAO Shihong, ZHANG Qianmao, DONG Jiasheng, CHEN Yu. Low-Carbon Economic Dispatching Method for Power System Considering the Substitution Effect of Carbon Tax and Carbon Trading[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(6): 1-11.

图/表 11

图1 基于随机场景法的碳价不确定性建模

Fig.1 Carbon price uncertainty modeling based on random scenario method

图2 阶梯型碳税

Fig.2 A tiered carbon tax

图3 蝙蝠算法优化流程

Fig.3 Optimization process of bat algorithm

图4 系统网架结构

Fig.4 grid structure of the system

图5 碳交易价格场景

Fig.5 Carbon trading price scenario

图6 场景1下系统调度结果

Fig.6 Scheduling results

图7 不同场景碳排放量构成

Fig.7 Composition of carbon emissions in different scenarios

图8 碳排放量分配结果

Fig.8 Distribution result of carbon emission

图9 替代系数、碳排放量与碳价关系

Fig.9 Relationship between substitution coefficient, carbon emission and carbon price

表1 调度结果对比

Table 1 Comparison of scheduling results

表2 运行模式结果对比

Table 1 Comparison of running mode results

参考文献 30

[1]	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.
[2]	王利兵, 张赟. 中国能源碳排放因素分解与情景预测[J]. 电力建设, 2021, 42(9): 1-9.
	WANG Libing, ZHANG Yun. Factors decomposition and scenario prediction of energy-related CO₂ emissions in China[J]. Electric Power Construction, 2021, 42(9): 1-9.
[3]	ZHOU W J, ZHU B, FUSS S, et al. Uncertainty modeling of CCS investment strategy in China’s power sector[J]. Applied Energy, 2010, 87(7): 2392-2400.
[4]	刘海涛, 朱海南, 李丰硕, 等. 计及碳成本的电-气-热-氢综合能源系统经济运行策略[J]. 电力建设, 2021, 42(12): 21-29.
	LIU Haitao, ZHU Hainan, LI Fengshuo, et al. Economic operation strategy of electric-gas-heat-hydrogen integrated energy system considering carbon cost[J]. Electric Power Construction, 2021, 42(12): 21-29.
[5]	CHEN W, CHEN J, MA Y K. Renewable energy investment and carbon emissions under cap-and-trade mechanisms[J]. Journal of Cleaner Production, 2021, 278: 123341.
[6]	XU X P, HE P, XU H, et al. Supply chain coordination with green technology under cap-and-trade regulation[J]. International Journal of Production Economics, 2017, 183: 433-442.
[7]	YANG D C, HE S W, CHEN Q Y, et al. Bidding strategy of a virtual power plant considering carbon-electricity trading[J]. CSEE Journal of Power and Energy Systems, 2019, 5(3): 306-314.
[8]	雷涛, 鞠立伟, 彭道鑫, 等. 计及碳排放权交易的风电储能协同调度优化模型[J]. 华北电力大学学报(自然科学版), 2015, 42(3): 97-104.
	LEI Tao, JU Liwei, PENG Daoxin, et al. Collaborative scheduling optimization model of wind power and energy storage system considering the carbon emission trade[J]. Journal of North China Electric Power University (Natural Science Edition), 2015, 42(3): 97-104.
[9]	陈威, 马永开, 白春光, 等. 配额制与碳税对可再生能源投资量决策影响的研究[J]. 电子科技大学学报(社科版), 2021, 23(5): 24-32.
	CHEN Wei, MA Yongkai, BAI Chunguang, et al. Impact of renewable portfolio standard and carbon tax policy on the renewable energy investment[J]. Journal of University of Electronic Science and Technology of China (Social Sciences Edition), 2021, 23(5): 24-32.
[10]	EMAMI I T, MOLLAHASSANIPOUR M, KALHORI M R N, et al. Short-run economic-environmental impacts of carbon tax on bulk electric systems[J]. Sustainable Energy, Grids and Networks, 2021, 26: 100480.
[11]	LI L X, YU S W. Optimal management of multi-stakeholder distributed energy systems in low-carbon communities considering demand response resources and carbon tax[J]. Sustainable Cities and Society, 2020, 61: 102230.
[12]	中国财政科学研究院课题组. 在积极推进碳交易的同时择机开征碳税[J]. 财政研究, 2018(4): 2-19.
	AFS Research Group. Selecting appropriate opportunities to levy carbon tax while actively promoting carbon emissions trading[J]. Public Finance Research, 2018(4): 2-19.
[13]	赵黎明, 殷建立. 碳交易和碳税情景下碳减排二层规划决策模型研究[J]. 管理科学, 2016, 29(1): 137-146.
	ZHAO Liming, YIN Jianli. Bi-level programming model of carbon emission reduction decision-making under the coexistence of carbon trading and carbon tax[J]. Journal of Management Science, 2016, 29(1): 137-146.
[14]	ZHANG Y X, TAN D Q, LIU Z. Leasing or selling? durable goods manufacturer marketing model selection under a mixed carbon trading-and-tax policy scenario[J]. International Journal of Environmental Research and Public Health, 2019, 16(2): 251.
[15]	CHEN Y H, WANG C, NIE P Y, et al. A clean innovation comparison between carbon tax and cap-and-trade system[J]. Energy Strategy Reviews, 2020, 29: 100483.
[16]	丁志刚, 陈涵, 徐琪. 碳交易与碳税双重风险下供应链低碳技术采纳时机决策研究[J]. 软科学, 2020, 34(7): 101-107.
	DING Zhigang, CHEN Han, XU Qi. Research on decision-making of low-carbon technology adoption timing in supply chain under the dual risk of carbon trading and carbon tax[J]. Soft Science, 2020, 34(7): 101-107.
[17]	张晓辉, 刘小琰, 钟嘉庆. 考虑奖惩阶梯型碳交易和电-热转移负荷不确定性的综合能源系统规划[J]. 中国电机工程学报, 2020, 40(19): 6132-6142.
	ZHANG Xiaohui, LIU Xiaoyan, ZHONG Jiaqing. Integrated energy system planning considering a reward and punishment ladder-type carbon trading and electric-thermal transfer load uncertainty[J]. Proceedings of the CSEE, 2020, 40(19): 6132-6142.
[18]	张新华, 陈敏, 叶泽. 考虑碳价下限的发电商CCS投资策略与政策分析[J]. 管理工程学报, 2016, 30(2): 160-165.
	ZHANG Xinhua, CHEN Min, YE Ze. Investment strategy of CCS for power producer and policy analysis with carbon price floor[J]. Journal of Industrial Engineering and Engineering Management, 2016, 30(2): 160-165.
[19]	ABADIE L M, CHAMORRO J M. European CO₂ prices and carbon capture investments[J]. Energy Economics, 2008, 30(6): 2992-3015.
[20]	林毓军, 苗世洪, 杨炜晨, 等. 面向多重不确定性环境的虚拟电厂日前优化调度策略[J]. 电力自动化设备, 2021, 41(12): 143-150.
	LIN Yujun, MIAO Shihong, YANG Weichen, et al. Day-ahead optimal scheduling strategy of virtual power plant for environment with multiple uncertainties[J]. Electric Power Automation Equipment, 2021, 41(12): 143-150.
[21]	CHEN X, HAO G. Sustainable pricing and production policies for two competing firms with carbon emissions tax[J]. International Journal of Production Research, 2015, 53(21): 6408-6420.
[22]	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.
[23]	崔杨, 邓贵波, 曾鹏, 等. 计及碳捕集电厂低碳特性的含风电电力系统源-荷多时间尺度调度方法[J/OL]. ( 2021-11-28) [2021-12-06].中国电机工程学报. https://doi.org/10.13334/j.0258-8013.pcsee.210697.
	CUI Yang, DENG Guibo, ZENG Peng, et al. Multi-time scale source-load dispatch method of power system with wind power considering low-carbon characteristics of carbon capture power plant[J/OL]. ( 2021-11-28) [2021-12-06]. Proceedings of the CSEE. https://doi.org/10.13334/j.0258-8013.pcsee.210697.
[24]	谢敬东, 陆文奇, 吕志伟. 电力市场环境下的微电网双层经济运营优化模型[J]. 现代电力, 2020, 37(4): 433-440.
	XIE Jingdong, LU Wenqi, LÜ Zhiwei. Optimization model of Bi-level economic operation of microgrid in electricity market environment[J]. Modern Electric Power, 2020, 37(4): 433-440.
[25]	李侃. 基于改进蝙蝠算法的电力系统连锁故障危险系数研究[D]. 淮南: 安徽理工大学, 2020.
	LI Kan. Research on dangerous coefficient of power system cascading failure based on improved bat algorithm[D]. Huainan: Anhui University of Science & Technology, 2020.
[26]	尹斌鑫, 苗世洪, 李姚旺, 等. 先进绝热压缩空气储能在综合能源系统中的经济性分析方法[J]. 电工技术学报, 2020, 35(19): 4062-4075.
	YIN Binxin, MIAO Shihong, LI Yaowang, et al. Study on the economic analysis method of advanced adiabatic compressed air energy storage in integrated energy system[J]. Transactions of China Electrotechnical Society, 2020, 35(19): 4062-4075.
[27]	SABOORI H, HEMMATI R. Considering carbon capture and storage in electricity generation expansion planning[J]. IEEE Transactions on Sustainable Energy, 2016, 7(4): 1371-1378.
[28]	ZHANG R F, YAN K F, LI G Q, et al. Privacy-preserving decentralized power system economic dispatch considering carbon capture power plants and carbon emission trading scheme via over-relaxed ADMM[J]. International Journal of Electrical Power & Energy Systems, 2020, 121: 106094.
[29]	王振浩, 许京剑, 田春光, 等. 计及碳交易成本的含风电电力系统热电联合调度[J]. 太阳能学报, 2020, 41(12): 245-253.
	WANG Zhenhao, XU Jingjian, TIAN Chunguang, et al. Combined heat and power scheduling strategy considering carbon trading cost in wind power system[J]. Acta Energiae Solaris Sinica, 2020, 41(12): 245-253.
[30]	张济建, 丁露露, 孙立成. 考虑阶梯式碳税与碳交易替代效应的企业碳排放决策研究[J]. 中国人口·资源与环境, 2019, 29(11): 41-48.
	ZHANG Jijian, DING Lulu, SUN Licheng. Research on enterprise carbon emission decision considering the substitution effect of stepped carbon tax and carbon trading[J]. China Population, Resources and Environment, 2019, 29(11): 41-48.

考虑碳税与碳交易替代效应的电力系统低碳经济调度方法

Low-Carbon Economic Dispatching Method for Power System Considering the Substitution Effect of Carbon Tax and Carbon Trading

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 11

参考文献 30

相关文章 10

编辑推荐

Metrics

本文评价

[1]	张菁, 林毓军, 齐晓光, 苗世洪, 张倩茅, 董家盛, 陈宇. 考虑碳税与碳交易替代效应的电力系统低碳经济调度方法[J]. 电力建设, 2022, 43(6): 1-11.
[2]	杨雪, 金孝俊, 王海洋, 魏翼飞. 基于区块链的绿证和碳交易市场联合激励机制[J]. 电力建设, 2022, 43(6): 24-33.
[3]	魏震波, 马新如, 郭毅, 魏平桉, 卢炳文, 张海涛. 碳交易机制下考虑需求响应的综合能源系统优化运行[J]. 电力建设, 2022, 43(1): 1-9.
[4]	韩照洋, 周琳, 刘硕, 李国栋, 付学谦. 考虑不确定性的综合能源系统日前市场申报策略[J]. 电力建设, 2021, 42(4): 121-131.
[5]	何后裕，何华琴，王骞，王彦铭，高领军，骆钊，臧海祥. 考虑碳足迹与交易的分布式光伏发电成本分摊[J]. 电力建设, 2020, 41(6): 85-92.
[6]	林紫菡，蒋晨威，陈明辉，尚慧玉，赵宏伟，阳曾，王一铮，文福拴. 计及柔性负荷的综合能源系统低碳经济运行[J]. 电力建设, 2020, 41(5): 9-18.
[7]	王辉，陈波波，赵文会，廖昆. 碳交易协同的跨省区清洁能源电力交易多主体竞价博弈[J]. 电力建设, 2019, 40(6): 95-104.
[8]	刘铠诚,孙嘉赣,周任军,何桂雄,郭炳庆. 碳市场下火电统一碳排放基准与减排效应分析 [J]. 电力建设, 2018, 39(1): 113-.
[9]	郑宇，赵俊华，孟科，李正佳，瞿凯平. 计及碳交易机制的电力系统随机优化调度[J]. 电力建设, 2017, 38(6): 21-.
[10]	狄开丽，李鹏，华浩瑞. 计及碳排放成本的交直流混合微网优化运行[J]. 电力建设, 2016, 37(7): 12-19.