王辉, 周珂锐, 吴作辉, 邹智超, 李欣. 含电转气和碳捕集耦合的综合能源系统多时间尺度优化调度[J]. 中国电力, 2024, 57(8): 214-226. DOI: 10.11930/j.issn.1004-9649.202312011
引用本文: 王辉, 周珂锐, 吴作辉, 邹智超, 李欣. 含电转气和碳捕集耦合的综合能源系统多时间尺度优化调度[J]. 中国电力, 2024, 57(8): 214-226. DOI: 10.11930/j.issn.1004-9649.202312011
WANG Hui, ZHOU Kerui, WU Zuohui, ZOU Zhichao, LI Xin. Multi-time Scale Optimal Scheduling of Integrated Energy System Coupling Power-to-Gas and Carbon Capture System[J]. Electric Power, 2024, 57(8): 214-226. DOI: 10.11930/j.issn.1004-9649.202312011
Citation: WANG Hui, ZHOU Kerui, WU Zuohui, ZOU Zhichao, LI Xin. Multi-time Scale Optimal Scheduling of Integrated Energy System Coupling Power-to-Gas and Carbon Capture System[J]. Electric Power, 2024, 57(8): 214-226. DOI: 10.11930/j.issn.1004-9649.202312011

含电转气和碳捕集耦合的综合能源系统多时间尺度优化调度

Multi-time Scale Optimal Scheduling of Integrated Energy System Coupling Power-to-Gas and Carbon Capture System

  • 摘要: 为提升综合能源系统(integrated energy system,IES)的可再生能源消纳以及低碳经济效益,提出含电转气(power-to-gas,P2G)和碳捕集(carbon capture system,CCS)耦合的综合能源系统多时间尺度优化调度模型。首先,建立基于阶梯型碳交易机制的含P2G和CCS耦合模型,并构建多能量转换设备和储能设备组成的电-热-冷综合能源系统;其次,基于多时间尺度的优化调度策略,以购能成本、运维成本、碳交易成本、弃风光成本为目标函数建立日前-日内滚动-实时调整3个阶段的优化调度模型;最后,以四川某工业园区为例进行仿真,结果证明本文提出的模型有效提高了综合能源系统的低碳经济效益、能源利用率和系统稳定性。

     

    Abstract: To improve the renewable energy consumption and low-carbon economic benefits of the integrated energy system (IES), this paper proposes a multi-time scale coordinated optimal scheduling model for IES that combines power-to-gas (P2G) and carbon capture system (CCS). Firstly, a coupling model of P2G and CCS based on a tiered carbon trading mechanism is established, and an electric-thermal-cooling IES is constructed using multiple energy conversion and storage devices. Secondly, based on the multi-time scale optimization scheduling strategy, an optimal scheduling model is established respectively for three stages including day-ahead, intra-day rolling, and real-time adjustment with energy purchasing costs, operation and maintenance cost, carbon trading cost, and wind and solar curtailment cost as objective function. Finally, a simulation was conducted using a case study of an industrial park in Sichuan. The results demonstrate that the proposed model effectively improves the low-carbon economic benefits, energy utilization efficiency, and system stability of the IES.

     

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