Optimal dispatch of integrated energy system with P2G considering carbon trading and demand response

被引:0
作者
Zihang Meng
Fugui Dong
Laihao Chi
机构
[1] North China Electric Power University,School of Economics and Management
来源
Environmental Science and Pollution Research | 2023年 / 30卷
关键词
Integrated energy systems; Ladder carbon trading; Demand response; Uncertainty; Bi-level optimal scheduling;
D O I
暂无
中图分类号
学科分类号
摘要
How to maintain the economic and low-carbon operation of the integrated energy system (IES) while taking into account the interests of the user side is of great significance to promote the large-scale development of IES. For this reason, this paper takes IES with the electricity-to-gas device as the research object and first constructs a demand response model that takes into account the user’s energy experience and a reward and punishment ladder carbon trading model. Second, an IES game optimization framework considering carbon trading and demand response is proposed. On this basis, taking the operators and users of the integrated energy system as the main players of the game, a two-level game optimization scheduling model is constructed to synchronously improve the economic, low-carbon, and satisfactory operation of IES, and the proposed model is solved by the combination of particle swarm optimization and CPLEX. Finally, the simulation shows that the proposed model can effectively enhance the benefits of both supply and demand while reflecting the user response behavior more realistically.
引用
收藏
页码:104284 / 104303
页数:19
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[11]  
Boyi Q(2021)Two-stage optimal operation of integrated energy system considering multiple uncertainties and integrated demand response Int J Electr Power Energy Syst 128 106735-1626
[12]  
Pengfei L(2022)Stochastic robust optimal operation of community integrated energy system based on integrated demand response Energy 249 123678-130
[13]  
Zhoujian A(2022)Trading strategy and benefit optimization of load aggregators in integrated energy systems considering integrated demand response: a hierarchical Stackelberg game Appl Energy 308 118392-13332
[14]  
Eladl AA(2021)Hierarchical stochastic scheduling of multi-community integrated energy systems in uncertain environments via Stackelberg game Proc CSU-EPSA 33 49-76
[15]  
El-Afifi MI(2021)Multi-objective optimal scheduling of electricity-gas-heat energy hub considering fuzzy chance constraint Energies 14 196-163
[16]  
Saeed MA(2021)Effect of P2G on flexibility in integrated power-natural gas-heating energy systems with gas storage Energy 236 121392-2690
[17]  
El-Saadawi MM(2022)Modeling and optimization of combined heat and power with power-to-gas and carbon capture system in integrated energy system Appl Energy 305 117808-undefined
[18]  
Guo R(2018)The influence of temporal variability and reservoir management on demand-response in the water sector Build Energy Efficiency 46 13-undefined
[19]  
Ye H(2021)Simplified calculation method of the predicted mean thermal sensation index PMV Front Energy Res 9 84-undefined
[20]  
Zhao Y(2021)Corrigendum: two-stage stochastic scheduling of integrated electricity and natural gas systems considering ramping costs with P2G storage and wind power Power Syst Technol 45 3534-undefined