基于主从博弈的电-热-气-氢-氨综合能源系统低碳经济调度OA

To address the challenge of carbon dioxide utilization in industrial park low-carbon transformation,this paper proposes a Stackelberg game-based collaborative economic dispatch model for electricity-heat systems.The proposed model innovatively integrates methanation and urea synthesis processes into the integrated energy system,establishing a complete electricity-hydrogen-ammonia-methane/urea carbon cycle to achieve the resource utilization of carbon dioxide.Within this framework,the integrated energy system operator acts as the leader by formulating time-of-use electricity and heat pricing strategies,while load aggregators and energy suppliers serve as followers,jointly scheduling combined heat and power units,power-to-ammonia facilities,carbon capture systems,methanation units,and urea synthesis plants in response to price signals to maximize their respective profits.The model comprehensively balances multi-energy and carbon material flows,while incorporating a tiered carbon trading mechanism and demand response strategy.The Bayesian optimization-mixed-integer linear programming(BO-MILP)algorithm is employed to solve the proposed optimization problem.Case studies based on an expanded integrated electrical-gas network demonstrate that,compared with traditional dispatch models,the proposed approach not only effectively coordinates the interests of multiple stakeholders within the industrial park but also converts carbon dioxide into high-value-added products through carbon resource utilization,thereby significantly reducing system carbon emissions while enhancing the overall economic benefits.