Two-layers Scheduling Strategy of Power System Con‍sid‍erring Demand Response and Green Certificate‍-Carbon Emission Trading Linkage Mechanism

doi:10.3969/j.issn.1008-0198.2025.06.013

Abstract

Abstract: A two-layer optimization scheduling model for the power system is proposed to address the diversity of load side carbon reduction methods and insufficient synergy of source side market measures in low-carbon dispatch. The model is based on demand response guided by node carbon potential and considers the linkage mechanism between green certificate trading and carbon emission trading. Firstly, based on carbon emission flow theory, a load-side carbon emission flow model is established, and combined with the demand response mechanisms, a low-carbon demand response framework for the load side is constructed. Secondly, by analyzing the operating principles of the carbon market and green certificate market, a carbon trading model and a green certificate trading model are established on the source side, and the carbon reduction attributes of green certificates are utilized to establish a connection between the two, completing the design of the interaction mechanism between the two. Then, a two-layer optimization scheduling model for the power system is constructed based on the low-carbon demand response and green certificate carbon trading linkage mechanism. The upper layer is the economic optimization dispatch model on the source side of the power system, and the lower layer is the low-carbon optimization dispatch model for the load side. Finally, a case study is conducted using the IEEE 14 node system to validate the effectiveness of the modle. The simulation results show that this scheduling strategy can fully exploit the potential of load side carbon reduction on the load side, enhance the interaction of market means on the source side, and promote the low-carbon transformation of the system.

Key words: low carbon scheduling, carbon emission flow, demand response, carbon emission trading, green certificate trading

CLC Number:

TM732

ZHANG Jialei, FENG Haoran, XUAN Wenju, LIU Zhengyang, WU Lei. Two-layers Scheduling Strategy of Power System Con‍sid‍erring Demand Response and Green Certificate‍-Carbon Emission Trading Linkage Mechanism[J]. Hunan Electric Power, 2025, 45(6): 97-106.

References

[1] ZHANG S,CHEN W.Assessing the energy transition in China towards carbon neutrality with a probabilistic framework[J]. Nature Communications,2022,13(1):87.
[2] 杨明杰,胡扬宇,千海霞,等. 计及碳排放的综合能源配网日前与日内多时间尺度优化调度[J]. 电力系统保护与控制,2023,51(5):96-106.
[3] 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.
[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.
[5] 刘哲远,邢海军,程浩忠,等. 考虑碳排放流及需求响应的综合能源系统双层优化调度[J]. 高电压技术,2023,49(1):169-178.
[6] 刘可真,李林耘,林铮,等. 考虑碳排放流的电-气互联系统源荷互动低碳经济调度[J]. 电力自动化设备,2024,44(5):1-10.
[7] 肖勇,戚锦通,胡伟,等. 基于双层规划模型的燃煤发电机组初始碳排放配额分配方案研究[J]. 热力发电,2022,51(10):42-46.
[8] 唐巍,张瑜,宣东海,等. 计及阶梯式碳交易机制的低碳型园区经济运行调度策略[J]. 供用电,2021,38(9):10-18.
[9] 秦婷. 基于碳交易机制的综合能源系统最优经济调度[D]. 天津:天津大学,2018.
[10] 陈锦鹏,胡志坚,陈颖光,等. 考虑阶梯式碳交易机制与电制氢的综合能源系统热电优化[J]. 电力自动化设备,2021,41(9):48-55.
[11] 陈锦鹏,胡志坚,陈嘉滨,等. 考虑阶梯式碳交易与供需灵活双响应的综合能源系统优化调度[J]. 高电压技术,2021,47(9):3094-3106.
[12] 齐先军,蒋中琦,张晶晶,等. 考虑碳捕集与综合需求响应互补的综合能源系统优化调度[J]. 电力自动化设备,2023,43(7):133-141.
[13] 邹宇航,曾艾东,郝思鹏,等. 阶梯式碳交易机制下综合能源系统多时间尺度优化调度[J]. 电网技术,2023,47(6):2185-2198.
[14] 李晓露,单福州,宋燕敏,等. 考虑热网约束和碳交易的多区域综合能源系统优化调度[J]. 电力系统自动化,2019,43(19):52-59,131.
[15] 刘晓军,聂凡杰,杨冬锋,等. 碳捕集电厂-电转气联合运行模式下考虑绿证-碳交易机制的综合能源系统低碳经济调度[J]. 电网技术,2023,47(6):2207-2222.
[16] 骆钊,秦景辉,梁俊宇,等. 含碳-绿色证书联合交易机制的综合能源系统日前优化调度[J]. 电力自动化设备,2021,41(9):248-255.
[17] 骆钊,秦景辉,梁俊宇,等. 含绿色证书跨链交易的综合能源系统运行优化[J]. 电网技术,2021,45(4):1311-1320.
[18] 陈巍,江岳文. 碳-绿证-电量市场耦合交易优化研究[J]. 电网技术,2023,47(6):2273-2287.
[19] 王艳松,宋阳阳,宗雪莹. 计及绿证交易和发电权交易的含光伏系统两级优化调度[J]. 中国石油大学学报(自然科学版),2019,43(1):145-153.
[20] 周天睿,康重庆,徐乾耀,等. 电力系统碳排放流分析理论初探[J]. 电力系统自动化,2012,36(7):38-43,85.