碳交易背景下含P2G-碳捕集的综合能源系统机会模糊优化调度方法研究  

Study on the opportunity fuzzy optimization scheduling method of integrated energy systems with P2G and Carbon capture under the context of Carbon trading

作　　者：陈芳 王泽[2] 尉鹏程 CHEN Fang;WANG Ze;WEI Pengcheng(State Grid Shandong Electric Power Company,Liaocheng 252000,China;Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(North-east Electric Power University),Jilin 132012,China;State Grid Jilin Electric Power Company,Changchun 130012,China)

机构地区：[1]国网山东省电力公司聊城供电局,山东聊城252000 [2]现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林吉林132012 [3]国网吉林省电力有限公司长春供电公司,吉林长春130012

出　　处：《电气应用》2023年第10期62-69,I0004,共9页Electrotechnical Application

基　　金：国网山东省电力公司科技项目(520611230005)。

摘　　要：完善多源综合能源系统的碳交易模式是提升我国新能源电力系统低碳经济性的重要途径。然而,大规模分布式能源的接入给低碳调度和运行带来了巨大的挑战。为此,提出一种考虑碳交易奖励机制的含P2G-碳捕集综合能源系统机会模糊调度模型。首先,在传统碳交易的基础上构建奖惩阶梯型碳交易模型,以进一步限制系统的碳排放。其次,采用模糊参数表征风机、光伏输出功率与负荷的不确定性,以系统总运行成本最低为目标构建基于可信性理论的综合能源系统模糊机会约束调度模型,推导出模糊机会约束的清晰等价类,并通过MATLAB调用CPLEX求解器进行求解。最后,算例结果表明,所提方法在降低系统碳排放的同时能够显著提升系统的经济效益。Perfecting the carbon trading model for multi-source integrated energy systems is an essential approach to enhance the low-carbon economic efficiency of China’s new energy power systems.However,the integration of large-scale distributed energy resources poses significant challenges to low-carbon scheduling and operation.In response,this paper proposes an opportunity fuzzy scheduling model for an integrated energy system with P2G and carbon capture that considers a carbon trading reward mechanism.Initially,a reward-penalty ladder carbon trading model is constructed on the basis of traditional carbon trading to further restrict the system’s carbon emissions.Subsequently,fuzzy parameters are employed to characterize the uncertainties in wind turbines,photovoltaic output power,and load.An integrated energy system opportunity constraint scheduling model based on credibility theory is developed,aiming to minimize the total operating costs of the system.The clear equivalence classes of fuzzy opportunity constraints are derived and solved using MATLAB in conjunction with the CPLEX solver.Finally,case study results demonstrate that the proposed method significantly enhances the system’s economic efficiency while reducing carbon emissions.

关 键 词：综合能源系统 奖惩阶梯型碳交易 不确定性分析 模糊机会约束 

分 类 号：TK01[动力工程及工程热物理] TM73[电气工程—电力系统及自动化]