Cost-Benefit Analysis of Multiple Entities Under the Coupling of Electricity and Carbon Trading Market Considering Demand Response

Bingjie JIN; Jiaxing LI; Hongqiao PENG; Shuxin LUO; Zhilin LU; Yuan LENG; Ping DONG; Ziyang LIANG

doi:10.12204/j.issn.1000-7229.2023.02.005

PDF(8713 KB)

Electric Power Construction ›› 2023, Vol. 44 ›› Issue (2) : 50-60. DOI: 10.12204/j.issn.1000-7229.2023.02.005

Key Technology and Application of Flexible Distributed Energy Resources Oriented to New Power System ·Hosted by Associate Professor JU Liwei and Professor TAN Zhongfu·

Cost-Benefit Analysis of Multiple Entities Under the Coupling of Electricity and Carbon Trading Market Considering Demand Response

Author information +

History +

Abstract

Cost-benefit research helps to understand the benefits and willingness to trade of various market players, so as to guide the market to formulate a more reasonable trading mechanism. This paper proposes a cost-benefit analysis method for multiple market players considering the coupling of electricity and carbon trading markets under demand response (DR). First, the unit carbon emission cost in carbon trading is included in the quotation function of each generating unit for unified clearing, which reflects the coupling of carbon trading and spot market operations. Secondly, the transactions of various entities in the electricity-carbon coupling market under demand response are considered. A cost-benefit analysis model for the generation side, the user side, the load aggregator, the energy storage operator and the grid side is proposed. Finally, an example analysis is carried out on an actual operation day of a certain provincial power grid in China. The results show that the operation of the carbon emission trading market will raise the clearing price of the electricity market and affect the cost and benefit of the relevant entities.

Key words

spot market / carbon trading market / demand response (DR) / cost-benefit analysis

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Bingjie JIN , Jiaxing LI , Hongqiao PENG , et al . Cost-Benefit Analysis of Multiple Entities Under the Coupling of Electricity and Carbon Trading Market Considering Demand Response[J]. Electric Power Construction. 2023, 44(2): 50-60 https://doi.org/10.12204/j.issn.1000-7229.2023.02.005

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

[1]	关于征求《南方(以广东起步)电力现货市场实施方案(稿)》意见的函[EB/OL]. (2018-08-31) [2022-07-10]. http://power.in-en.com/html/power-2295719.shtml. http://power.in-en.com/html/power-2295719.shtml Cited in this article [1]

[2]	关于征求南方(以广东起步)电力现货市场系列规则意见的通知[EB/OL]. (2018-08-31) [2022-07-10]. http://nfj.nea.gov.cn/adminContent/initViewContent.do?pk=402881e56579be6301658d7123c2001a. http://nfj.nea.gov.cn/adminContent/initViewContent.do?pk=402881e56579be6301658d7123c2001a Cited in this article [1]

[3]	全国碳排放权交易市场上线交易正式启动[EB/OL]. (2021-07-17) [2022-07-10]. http://www.gov.cn/xinwen/2021-07/17/content_5625625.htm#1. http://www.gov.cn/xinwen/2021-07/17/content_5625625.htm#1 Cited in this article [1]

[4]

李姚旺, 张宁, 杜尔顺, 等. 基于碳排放流的电力系统低碳需求响应机制研究及效益分析[J]. 中国电机工程学报, 2022, 42(8): 2830-2842.

Yaowang

, ZHANG

Ning

, DU

Ershun

, et al. Mechanism study and benefit analysis on power system low carbon demand response based on carbon emission flow[J]. Proceedings of the CSEE, 2022, 42(8): 2830-2842.

Cited in this article [1]

[5]	吴鸿亮, 刘羽霄, 张宁, 等. 南方电网西电东送中的碳交易模型及其效益分析[J]. 电网技术, 2017, 41(3): 745-751. WU Hongliang, LIU Yuxiao, ZHANG Ning, et al. Carbon trading models and benefit analysis in CSG west-to-east power transmission[J]. Power System Technology, 2017, 41(3): 745-751. Cited in this article [1]

[6]	马辉, 陈雨果, 陈晔, 等. 南方(以广东起步)电力现货市场机制设计[J]. 南方电网技术, 2018, 12(12): 42-48. MA Hui, CHEN Yuguo, CHEN Ye, et al. Mechanism design of Southern China (starting from Guangdong Province) electric spot market[J]. Southern Power System Technology, 2018, 12(12): 42-48. Cited in this article [1]

[7]	代贤忠, 韩新阳, 靳晓凌. 需求响应参与电力平衡的成本效益评估方法[J]. 中国电力, 2022, 55(10): 170-177. DAI Xianzhong, HAN Xinyang, JIN Xiaoling. Cost-benefit assessment method for demand response participating in power balance[J]. Electric Power, 2022, 55(10): 170-177. Cited in this article [1]

[8]	张静页, 王磊, 刘顺桂. 负荷聚合商参与可中断负荷项目的成本效益分析[J]. 南方电网技术, 2016, 10(8): 74-81. ZHANG Jingye, WANG Lei, LIU Shungui. Cost-benefit analysis of load aggregator participating in interruptible load program[J]. Southern Power System Technology, 2016, 10(8): 74-81. Cited in this article [1]

[9]	刘坚, 熊英, 金亨美, 等. 电动汽车参与电力需求响应的成本效益分析: 以上海市为例[J]. 全球能源互联网, 2021, 4(1): 86-94. LIU Jian, XIONG Ying, KIM Hyoung Mi, et al. Economic assessment of demand response delivered by electric vehicles in Shanghai[J]. Journal of Global Energy Interconnection, 2021, 4(1): 86-94. Cited in this article [1]

[10]	LI X Z. A cost-benefit analysis of V2G electric vehicles supporting peak shaving in Shanghai[J]. Electric Power Systems Research, 2020, 179: 106058. https://doi.org/10.1016/j.epsr.2019.106058 https://linkinghub.elsevier.com/retrieve/pii/S0378779619303773 Cited in this article [1]

[11]

陈启鑫, 周天睿, 康重庆, 等. 节能发电调度的低碳化效益评估模型及其应用[J]. 电力系统自动化, 2009, 33(16): 24-29.

CHEN

Qixin

, ZHOU

Tianrui

, KANG

Chongqing

, et al. An assessment model of low-carbon effect and its application to energy saving based generation dispatching[J]. Automation of Electric Power Systems, 2009, 33(16): 24-29.

Cited in this article [1]

[12]	ELDALI F, HARDY T, CORBIN C, et al. Cost-benefit analysis of demand response programs incorporated in open modeling framework[C]// 2016 IEEE Power and Energy Society General Meeting. IEEE, 2016: 1-5. Cited in this article [1]

[13]	庄晓丹, 刘卫东, 黄为群, 等. 浙江电力现货市场环境下储能的市场交易机制与效益分析[J]. 中国电力, 2022, 55(6): 80-85. ZHUANG Xiaodan, LIU Weidong, HUANG Weiqun, et al. Energy storage market trading mechanism and benefit analysis of Zhejiang power spot market[J]. Electric Power, 2022, 55(6): 80-85. Cited in this article [1]

[14]

张高, 薛松, 范孟华, 等. 面向我国电力市场的需求响应市场化交易机制设计[J]. 电力建设, 2021, 42(4): 132-140.

https://doi.org/10.12204/j.issn.1000-7229.2021.04.015

Abstract

随着我国2060年“碳中和”发展目标的提出,我国可再生能源装机容量和装机比例都将快速增长。由于可再生能源的随机性和反调峰特性,电力系统调峰能力不足等问题日益突出,系统安全稳定运行面临极大挑战。需求响应作为灵活性调节资源,其发展有利于提升电力系统运行的安全性和灵活性。当前,我国已在多省开展了各具特色的需求响应试点,随着我国电力市场建设的快速推进,建立需求响应市场化交易机制,实现需求响应与我国电力市场的有机衔接迫在眉睫。文章以需求响应国际发展经验为基础,深入分析了我国需求响应发展现状及面临的挑战,结合我国电力市场建设路径,设计了面向我国电力市场的需求响应市场化交易机制,为我国需求响应发展提供了可行思路。

ZHANG

Gao

, XUE

Song

, FAN

Menghua

, et al. Design of demand-response market mechanism in accordance with China power market[J]. Electric Power Construction, 2021, 42(4): 132-140.

https://doi.org/10.12204/j.issn.1000-7229.2021.04.015

Cited in this article [1] Abstract

With the proposal of achieving carbon neutral in 2060, the installed capacity and proportion of renewable energy power units in China is expecting to grow rapidly. However, due to the randomness and reverse peak-shaving characteristic of renewable energy, the reliability of power system operation faces great challenge. As a vital flexible adjusting resource, the development of demand response is conducive to improve the safety and flexibility of power system operation. Currently, many provinces have carried out various distinctive demand-response pilot projects. With the rapid development of China's power market, it is extremely urgent to realize the connection between demand response and China's power market and to establish a market-based mechanism for demand response. According to the worldwide development experience of demand response, this paper deeply analyzes the development status and challenges of demand response in China, and designs a market mechanism of demand response in combination with the construction path of China power market, which provides feasible ideas for the future development of demand response in China.

[15]	冯天天. 绿证交易及碳交易对电力市场的耦合效应分析模型研究[D]. 北京: 华北电力大学, 2016. FENG Tiantian. Coupling induction analysis model of tradable green certificates and carbon emission trading acting on electricity market in China[D]. Beijing: North China Electric Power University, 2016. Cited in this article [1]

[16]

卢治霖, 刘明波, 尚楠, 等. 考虑碳排放权交易市场影响的日前电力市场两阶段出清模型[J]. 电力系统自动化, 2022, 46(10): 159-170.

Zhilin

, LIU

Mingbo

, SHANG

Nan

, et al. Two-stage clearing model for day-ahead electricity market considering impact of carbon emissions trading market[J]. Automation of Electric Power Systems, 2022, 46(10): 159-170.

Cited in this article [1]

[17]	赵晨晨. 低碳背景下电力需求响应效益评估研究[D]. 北京: 华北电力大学, 2015. ZHAO Chenchen. Research on benefits assessment of power demand response in the context of low carbon economy[D]. Beijing: North China Electric Power University, 2015. Cited in this article [1]

[18]	彭晓洁, 钟永馨. 碳排放权交易价格的影响因素及策略研究[J]. 价格月刊, 2021(12): 25-31. PENG Xiaojie, ZHONG Yongxin. Research on influencing factors and strategies of carbon emission trading price[J]. Prices Monthly, 2021(12): 25-31. Cited in this article [1]

[19]	HUANG J, XUE Y S, JIANG C, et al. An experimental study on emission trading behaviors of generation companies[J]. IEEE Transactions on Power Systems, 2015, 30(2): 1076-1083. https://doi.org/10.1109/TPWRS.2014.2366767 http://ieeexplore.ieee.org/document/6960105/ Cited in this article [1]

[20]	广东电力市场现货电能量交易实施细则(2022 年试行版)(南方监能市场[2022]1号))[EB/OL].(2022-01-07)[2022-07-10]. http://nfj.nea.gov.cn/adminContent/initViewContent.do?pk=4028811c7d55f39b017e329a8df400a3. http://nfj.nea.gov.cn/adminContent/initViewContent.do?pk=4028811c7d55f39b017e329a8df400a3 Cited in this article [1]