摘要
电力系统中太阳能和风能等可再生能源的渗透率普遍提高,为了促进可再生能源发电的消耗,减少综合能源系统(IES)的碳排放,提高系统运行的经济性,提出一种计及需求响应的含电-氨-电环节综合能源系统调度模型。该模型利用电转氨(P2A)模块和固态氧化物氨燃料电池(ASOFC)提高IES消纳风电水平并参与系统的电热联供。在此基础上,根据负荷侧需求响应资源的形成机理,建立日前、日内低碳经济运行模型;同时,对含电-氨-电环节的综合能源系统内部能量耦合关系进行分析,提出一种基于源-荷协调的快慢时间尺度电热联合调度方法。基于CPLEX求解器的算例分析与对比结果表明,所提出的含电-氨-电环节的IES调度模型及其调度方法能够有效缓解弃风现象,在保证系统运行经济性的同时降低了系统碳排放量。
The penetration rate of renewable energy such as solar energy and wind energy in power system is improvedgenerally.In order to promote the consumption of renewable energy generation,reduce the carbon emission of the integratedenergy system(IES),and improve the economy of the system operation,a dispatching model of the electricity-ammonia-electricitylinkIES considering the demand response(DR) is proposed.The power-to-ammonia(P2A) module and ammonia solid oxide fuelcell(ASOFC) are used to improve the wind power consumption level of IES and participate in the combined heat and powersupply of the system.On this basis,a day-ahead and intra-day operation model of low-carbon economic is established accordingto the formation mechanism of DR resources on the load side.The internal energy coupling relationship of IES with electricity-ammonia-electricity links is analyzed,and a fast and slow time-scale electricity-heat joint scheduling method based on source-charge coordination is proposed.The example analysis and comparison results based on the CPLEX solver show that theproposed IES scheduling model with electricity-ammonia-electricity link,and its scheduling method can effectively alleviate thewind curtailment phenomenon,ensure the economic operation of the system,and reduce the system carbon emissions.
作者
彭宏香
陈曦
PENG Hongxiang;CHEN Xi(College of Electrical Engineering&New Energy,China Three Gorges University,Yichang 443002,China)
出处
《现代电子技术》
北大核心
2025年第10期109-117,共9页
Modern Electronics Technique
基金
湖北省自然科学基金项目(2020CFB248)
宜昌市自然科学研究项目(A20-3-014)。
关键词
可再生能源
电转氨
固态氧化物氨燃料电池
电-热-氨耦合关系模型
热电联供
电力调度
renewable energy
power-to-ammonia
ammonia solid oxide fuel cell
electricity-heat-ammonia coupling relationship model
combined heat and power
power dispatching
