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

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。

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.