计及阶梯碳交易机制的热电氢联供型综合能源系统多目标优化调度  

Multi-objective Optimal Scheduling of Combined Heat,Power,and Hydrogen Integrated Energy System Considering the Stepped Carbon Trading Mechanism

作　　者：邢家维 赵帅 杨颂 王玥娇 孙立群 XING Jiawei;ZHAO Shuai;YANG Song;WANG Yuejiao;SUN Liqun(State Grid Shandong Electric Power Research Institute,Jinan 250003,China)

机构地区：[1]国网山东省电力公司电力科学研究院,山东济南250003

出　　处：《山东电力技术》2025年第3期21-31,共11页Shandong Electric Power

基　　金：国网山东省电力公司电力科学研究院自主研发项目“用户侧综合能源系统协同运行关键技术研究”(ZY-2023-11)。

摘　　要：在“双碳”目标背景下,热电氢联供型综合能源系统作为一种具有潜力的清洁能源系统,能够有效整合电力、热能和氢能,满足不断增长的能源需求并减少碳排放。为此,提出一种计及阶梯碳交易机制的热电氢联供型综合能源系统多目标优化调度方法。首先,构建含火电机组、燃气锅炉、电转气和氢燃料电池等设备的热电氢联供型综合能源系统架构。其次,建立运行成本最小化、碳排放量小化的多目标优化调度模型。最后,引入线性递减约束的粒子群算法进行求解,提高求解的收敛精度、收敛速度。仿真结果表明,所建立的模型能够有效提高系统的经济收益和碳减排能力。Against the backdrop of the"dual-carbon"goals,the combined heat,power,and hydrogen supply integrated energy system emerges as a promising clean energy solution.It effectively integrates electricity,heat,and hydrogen,meeting the continuously growing energy demand while reducing carbon emissions.To achieve the widespread application of the integrated energy system,a multi-objective optimization scheduling method is introduced for the integrated energy system considering a tiered carbon trading mechanism in this paper.Firstly,the architecture of the system is established,encompassing equipment such as thermal power units,gas boilers,power-to-gas,and hydrogen fuel cells.Secondly,a multi-objective optimization model is formulated,considering the reduction of operational expenses and carbon footprints.Finally,a particle swarm algorithm with linearly decreasing constraints is employed for solving,enhancing the convergence accuracy and speed of the solution.Simulation results indicate that the proposed model effectively improves the economic benefits and carbon emission reduction capability of the system.

关 键 词：综合能源 优化调度 阶梯碳交易机制 多目标优化 粒子群算法 

分 类 号：TM73[电气工程—电力系统及自动化]