考虑综合需求响应的电-气综合能源系统低碳经济运行研究OA

To achieve the strategic goal of carbon neutrality,optimizing the low-carbon operation of integrated energy systems(IES)through multi-energy coupling and synergy has emerged as a critical pathway for energy transition.Within the framework of multi-energy coupling and cooperative operation,a muti-dimensional optimal scheduling strategy incorporating multi-timescale analysis and load de-mand response is proposed.First,a multi-level coupled architecture for gas turbine-carbon capture and storage-power to gas(GT-CCS-P2G)is constructed,and an integrated electricity-gas system(IEGS)considering comprehensive demand response is structured based on this architecture.Followed by the construction of the power grid and gas network as separate agents,and the conversion of the IEGS sched-uling scheme into a Markov game process.Finally,the optimal scheduling strategy is obtained by the communication mechanism-enabled multi-agent soft actor-critic(CM-MASAC)method.Comparative analysis with multiple algorithms demonstrates both the superiority of the proposed method and the synergistic effectiveness of combining load demand response with GT-CCS-P2G technology.Experimental results indicate that this approach achieves optimal performance,reducing 10.29%operating costs and 16.07%carbon emissions compared to benchmark methods.