电力系统自动化2024，Vol.48Issue(1)：31-40,10.DOI:10.7500/AEPS20230221001
含碳捕集电厂与氢能多元利用的综合能源系统低碳经济调度
Low-carbon Economic Dispatch of Integrated Energy System Considering Carbon Capture Power Plant and Multi-utilization of Hydrogen Energy
摘要
Abstract
With the continuous promotion of"carbon emission peak and carbon neutrality"strategy in China,the green and low-carbon transformation of integrated energy systems is imminent.Aiming at the problems of poor flexibility of traditional carbon capture power plants and the difficulty in integrating wind power into the grid,a low-carbon economic dispatch model of the integrated energy system considering carbon capture power plants and multi-utilization of hydrogen energy is proposed.Firstly,the traditional carbon capture power plant is reformed by introducing a liquid storage tank to improve the operation flexibility of the power plant to deal with wind power fluctuations.Secondly,a multi-utilization structure of hydrogen energy including two-stage power-to-gas,hydrogen fuel cell,hydrogen storage tank and hydrogen-doped combined heat and power is constructed to fully exploit the coordinated operation potential of hydrogen energy utilization and the carbon capture power plant.On this basis,a cascaded carbon trading mechanism is introduced to establish a low-carbon economic dispatch model with the optimization objective of minimizing the sum of carbon trading,carbon sequestration,coal and gas purchase costs.The simulation results show that the proposed model can effectively improve the wind power accommodation level and energy utilization efficiency of the system,and has significant low-carbon economic benefits.In addition,the carbon trading benchmark price can be set properly to guide the system to increase the level of carbon capture.关键词
碳捕集电厂/氢能/碳交易/低碳经济调度/综合能源系统Key words
carbon capture power plant/hydrogen energy/carbon trading/low-carbon economic dispatch/integrated energy system引用本文复制引用
刘妍,胡志坚,陈锦鹏,翁菖宏,高明鑫,刘盛辉..含碳捕集电厂与氢能多元利用的综合能源系统低碳经济调度[J].电力系统自动化,2024,48(1):31-40,10.基金项目
国家重点研发计划资助项目(2022YFE0205300). This work is supported by National Key R&D Program of China(No.2022YFE0205300). （2022YFE0205300）
