Optimizing Integrated Energy System Scheduling with Stepped Carbon Trading: An IGDT-Based Approach

Author:

Guo Jingrong1,Xiang Yue1,Liu Junyong1,Zeng Pingliang2,Wu Gang3,Xue Ping4,Xu Weiting5

Affiliation:

1. College of Electrical Engineering, Sichuan University,Chengdu,China

2. School of Automation, Hangzhou Dianzi University,Hangzhou,C

3. State Grid Sichuan Power Economic, Research Institute,Chengdu,China

4. State Grid Sichuan Electric Power Company, Technical Training Center, Sichuan Electric Power Vocational and Technical College,Chengdu,China

5. Sichuan New Electric Power System, Research Institute,Chengdu,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference13 articles.

1. Mechanism of locational marginal prices and clearing model of electricity and carbon market considering dynamic carbon trading curve[J];ye;Power System Technology,2023

2. Probability Methods Subcommittee. IEEE reliability test system[J];zhang;IEEE Transactions on Power Apparatus and Systems,1979

3. Coordination of Interdependent Natural Gas and Electricity Infrastructures for Firming the Variability of Wind Energy in Stochastic Day-Ahead Scheduling

4. Integrated planning of natural gas network and composite power system[J];hu;Proceedings of the CSEE,0

5. Research on dynamic modeling of amine-based carbon capture pilot plant based on gCCS[J];wang;Proceedings of the CSEE,0

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