基于多能灵活性约束的含富氧燃烧机组综合能源系统两阶段优化调度
收稿日期: 2023-09-25
修回日期: 2023-11-12
录用日期: 2023-11-17
网络出版日期: 2023-11-29
基金资助
国家电网有限公司科技项目(52094022001S)
Two-Stage Optimal Dispatch for Integrated Energy System with Oxy-Combustion Based on Multi-Energy Flexibility Constraints
Received date: 2023-09-25
Revised date: 2023-11-12
Accepted date: 2023-11-17
Online published: 2023-11-29
富氧燃烧作为目前最具潜力的燃煤电厂碳捕集技术,为综合能源系统灵活性提升与碳减排提供了新的解决思路.从融合富氧燃烧技术与综合能源系统优化运行的角度,提出计及多能灵活性约束的含富氧燃烧机组综合能源系统两阶段优化调度策略.首先,建立含富氧燃烧机组的综合能源系统(Oxy-IES)模型;然后,提出适用于Oxy-IES的多能灵活性约束,利用矩阵模型揭示Oxy-IES灵活性供需关系;最后,构建Oxy-IES两阶段优化调度策略,日前阶段以考虑碳交易的日运行成本最小为目标优化各设备出力,日内阶段利用富氧燃烧机组的快速变负荷能力提升系统灵活性.Oxy-IES算例仿真表明:所提策略能够提升综合能源系统灵活性和经济性,并降低碳排放.
彭楚轩 , 边晓燕 , 金海翔 , 林顺富 , 徐波 , 赵健 . 基于多能灵活性约束的含富氧燃烧机组综合能源系统两阶段优化调度[J]. 上海交通大学学报, 2025 , 59(9) : 1281 -1291 . DOI: 10.16183/j.cnki.jsjtu.2023.487
As one of the most promising carbon capture technologies for coal-fired power plants, oxy-fuel combustion provides a new solution for improving the flexibility of the integrated energy system (IES) and reducing carbon emissions. In this paper, a two-stage optimal dispatch strategy for the integrated energy system with oxy-fuel combustion units considering the constraints of multi-energy flexibility is proposed based on the intergration of oxy-fuel combustion technology and the optimal operation of the integrated energy system. First, a model of integrated energy system with oxy-fuel combustion (Oxy-IES) is established. Then, a matrix model of multi-energy flexibility constraints for Oxy-IES is proposed to reveal the supply and demand relationship of flexibility within the system. Finally, a two-stage optimization dispatch strategy for Oxy-IES is constructed, in which the output of each unit is optimized to minimize the daily operating cost of carbon trading in the day-ahead stage, while the rapid variable load capacity of the oxy-fuel combustion unit improves the flexibility of the system in the intraday stage. The simulation results of Oxy-IES show that the proposed strategy can improve the flexibility and economy performance of the IES while reducing carbon emissions.
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