Optimal Scheduling of Integrated Energy System Based on Carbon Capture–Power to Gas Combined Low-Carbon Operation

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Detalles Bibliográficos
Publicado en:	Processes vol. 13, no. 2 (2025), p. 540
Autor principal:	Sun, Shumin
Otros Autores:	Xing, Jiawei, Cheng, Yan, Yu, Peng, Wang, Yuejiao, Yang, Song, Qian Ai
Publicado:	MDPI AG
Materias:	Load Particle swarm optimization Linear programming Game theory Integer programming Mathematical models Emissions trading Ratios Optimization Hydrogen Energy resources Energy consumption Carbon sequestration Efficiency Natural gas Power-to-gas Scheduling Operators (mathematics) Integrated energy systems Carbon dioxide Carbon Mixed integer Flue gas Emission standards Demand side management
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Descripción
Resumen:	In this paper, an IES optimal cooperative scheduling method based on a master–slave game is proposed considering a carbon emission trading (CET) and carbon capture system (CCS) combined operation with power to gas (P2G). We analysed the behaviour of integrated energy system operators (IESO) and energy suppliers (ES) when the system is operating in different states. This paper first introduces the structure of IES and the mathematical model of the game frame. Secondly, mixed integer linear programming and particle swarm optimization (MILP–PSO) are used. The final simulation results show that in the main scenario, IESO and ES have an income of CNY 181,900 and CNY 279,400, respectively, and the actual carbon emission is 106.75 tons. The overall income is balanced, and the carbon emission is in the middle. The results provide a reference value for operators and users to make decisions.
ISSN:	2227-9717
DOI:	10.3390/pr13020540
Fuente:	Materials Science Database