电力建设2024，Vol.45Issue(2)：102-114,13.DOI:10.12204/j.issn.1000-7229.2024.02.009
阶梯式碳交易机制下考虑需求响应的综合能源系统低碳优化调度
Low-Carbon Optimal Dispatch of Integrated Energy System Considering Demand Response under the Tiered Carbon Trading Mechanism
摘要
Abstract
To further reduce the carbon emissions of integrated energy systems(IES)and improve their energy utilization,an IES optimization scheduling strategy considering demand response(DR)under a stepped carbon trading mechanism was proposed.First,from the perspective of demand response(DR),considering the synergistic complementarity and flexible conversion ability of multiple energy sources,lateral time-shifting and vertical complementary alternative strategies for electricity,gas,and heat were introduced,and a DR model was constructed.Second,from the perspective of life-cycle assessment,the initial quota model of carbon emissions allowances was elaborated and revised.Subsequently,we introduced a tiered carbon trading mechanism that imposes a certain degree of constraint on the carbon emissions of IES.Finally,the sum of the energy purchase,carbon emission transaction,equipment maintenance,and demand response costs was minimized,and a low-carbon optimal scheduling model was constructed considering the safety constraints.This model transforms the original problem into a mixed-integer linear problem using Matlab software and optimizes the model using the CPLEX solver.The example results show that considering the carbon trading cost and demand response under the tiered carbon trading mechanism,the total operating cost of the IES is reduced by 5.69％,and the carbon emissions are reduced by 17.06％,which significantly improves the reliability,economy,and low-carbon performance of the IES.关键词
阶梯式碳交易/综合能源系统/需求响应/横向时移与纵向互补替代/低碳优化Key words
tiered carbon trading/integrated energy systems/demand response/transverse time-shifting and longitudinal complementary substitution/low-carbon optimization分类
信息技术与安全科学引用本文复制引用
王利猛,刘雪梦,李扬,常铎,任星..阶梯式碳交易机制下考虑需求响应的综合能源系统低碳优化调度[J].电力建设,2024,45(2):102-114,13.基金项目
This work is supported by Natural Science Foundation of Jilin Province(No.YDZJ202101ZYTS149).吉林省自然科学基金项目(YDZJ202101ZYTS149) （No.YDZJ202101ZYTS149）
