摘要
针对高风光渗透率的综合能源系统存在的弃能及备用压力问题,考虑氢能单元、碳捕集和制氨装置联合运行,提出了一种含氢能、氨能与碳捕集的综合能源系统低碳优化调度方法,以提升系统的风光消纳能力和运行灵活性。一方面,提出了综合能源系统的运行框架,分析了氢能单元、制氨装置和火电机组掺氨燃烧以及碳捕集装置参与消纳风光的灵活经济运行策略,并进行了机理分析与建模;另一方面,为了缓解系统备用压力,建立了氢能单元-碳捕集-火电协同备用优化模型,挖掘氢能单元与碳捕集装置的备用能力,进而以总运行成本最小为目标,建立了综合能源系统的低碳经济调度模型。基于改进的IEEE 39节点系统进行仿真分析,结果验证了所提调度方法的有效性和可行性。
Aiming at the problems of energy abandonment and reserve pressure in the integrated energy sys⁃tem with high wind and photovoltaic permeability,considering the joint operation of hydrogen energy unit,carbon capture and ammonia production unit,a low-carbon optimal scheduling method of the integrated ener⁃gy system with hydrogen energy,ammonia energy and carbon capture is proposed to improve the wind and photovoltaic absorption capacity and operational flexibility of the system.On the one hand,the operation framework of the integrated energy system is proposed,the flexible economic operation strategies of hydrogen energy unit,ammonia production unit,thermal power unit with ammonium-mixed combustion and carbon cap⁃ture device are analyzed,and the mechanism analysis and modeling are carried out.On the other hand,in order to alleviate the system reserve pressure,a collaborative reserve optimization model of hydrogen energy unit,carbon capture and thermal power is established to explore the reserve capacity of hydrogen energy unit and carbon capture device,and then a low-carbon economic scheduling model of integrated energy system is established with the goal of minimizing the total operation cost.Based on the improved IEEE 39-bus system,the simulative results verify the effectiveness and feasibility of the proposed scheduling method.
作者
梁俊鹏
张高航
李凤婷
解超
王婷
LIANG Junpeng;ZHANG Gaohang;LI Fengting;XIE Chao;WANG Ting(School of Electrical Engineering,Xinjiang University,Urumqi 830017,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2024年第10期16-23,共8页
Electric Power Automation Equipment
基金
新疆维吾尔自治区重点研发专项(2022B01016)。
关键词
综合能源系统
低碳调度
氢能单元
氢-氨利用
碳捕集
备用优化
integrated energy system
low-carbon scheduling
hydrogen energy unit
hydrogen-ammonia utiliza⁃tion
carbon capture
reserve optimization