Low Carbon Optimal Dispatch Strategy for Electricity Based on Dynamic Carbon Emission Factors

doi:10.16628/j.cnki.2095-8188.2024.12.005

Abstract

Abstract:

A low carbon optimisation scheduling strategy based on the dynamic carbon emission factor is proposed to guide the user to change the energy consumption curves to achieve low carbon emission reduction by utilizing the changing laws of dynamic carbonemission factors.Taking the dynamic carbon emission factor as the guiding signal,the low carbon characteristics of the energy storage system and dispatchable load are used to guide the user side to make low carbon incentive responses and change the charging and discharging of the energy storage system and the operation state of the dispatchable load.The dynamic carbon emission factor changing rule is effectively utilized to extend the real-time carbon emission conservation principle to the scheduling cycle,so as to guide the user side to change the energy consumption curve in an orderly manner.Finally,the effectiveness and advancement of the proposed strategy are verified by the comparison with example analysis.

Key words: carbon emission factor, electricity low carbon, energy storage, dispatchable load, carbon potential

CLC Number:

TM73

LIU Yangguang. Low Carbon Optimal Dispatch Strategy for Electricity Based on Dynamic Carbon Emission Factors[J]. LOW VOLTAGE APPARATUS, 2024, 0(12): 26-32.

Figures/Tables 7

References 17

[1]	辛保安. 为实现“碳达峰、碳中和”目标贡献智慧和力量[J]. 国家电网, 2021(3):2-3.
[2]	佚名. 七部门印发《促进绿色消费实施方案》[J]. 再生资源与循环经济, 2022, 15(2):6.
[3]	张智刚, 康重庆. 碳中和目标下构建新型电力系统的挑战与展望[J]. 中国电机工程学报, 2022, 42(8):2806-2819.
[4]	CHENG Y, ZHANG N, WANG Y, et al. Modeling carbon emission flow in multiple energy systems[J]. IEEE Transactions on Smart Grid, 2019, 10(4):3562-3574.
[5]	CHENG Y, ZHANG N, ZHANG B, et al. Low-carbon operation of multiple energy systems based on energy-carbon integrated prices[J]. IEEE Transactions on Smart Grid, 2019, 11(2):1307-1318.
[6]	康重庆, 杜尔顺, 李姚旺, 等. 新型电力系统的“碳视角”:科学问题与研究框架[J]. 电网技术, 2022, 46(3):821-833.
[7]	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.
[8]	翁格平, 任娇蓉, 姚艳, 等. 考虑时变电碳因子的园区综合能源系统低碳经济调度[J]. 浙江电力, 2022, 41(10):106-114.
[9]	周天睿, 康重庆. 基于碳排放流的配电系统低碳优化运行方法研究[J]. 全球能源互联网, 2019, 2(3):241-247.
[10]	赵伟, 熊正勇, 潘艳, 等. 计及碳排放流的电力系统低碳规划[J]. 电力系统自动化, 2023, 47(9):23-33.
[11]	周洋, 王进, 任胜男, 等. 计及碳捕集设备的电-气互联综合能源系统低碳经济调度[J]. 电器与能效管理技术, 2020(4):106-112.
[12]	任胜男, 王进, 龚罗文, 等. 考虑电转气热回收与蓄热罐的风电消纳低碳经济调度[J]. 电器与能效管理技术, 2020(11):103-110.
[13]	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.
[14]	李鹏, 王瑞, 冀浩然, 等. 低碳化智能配电网规划研究与展望[J]. 电力系统自动化, 2021, 45(24):10-21.
[15]	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.
[16]	周天睿, 康重庆, 徐乾耀, 等. 碳排放流在电力网络中分布的特性与机理分析[J]. 电力系统自动化, 2012, 36(15):39-44.
[17]	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.

发电机组	机组碳势/(kgCO₂·kWh^-1)
G1	0.875
G2	0.520
G3	0.000
G4	0.520
G5	0.000