含P2G-CCS耦合的综合能源系统多时间尺度优化

Multi-Time Scale Optimization of Integrated Energy Systems with P2G-CCS Coupling

为提升综合能源系统(IES)中可再生能源的消纳以及实现低碳排放,提出了一种多时间尺度下考虑需求响应和电转气-碳捕集系统(P2G-CCS)耦合的综合能源系统低碳调度策略。首先,建立了含P2G-CCS耦合和考虑电冷热负荷需求响应的IES数学模型。其次,建立了阶梯碳交易模型对碳排放量进行约束。最后,提出了源荷互补的IES多时间尺度低碳调度策略,构建了以购气和煤耗成本、碳封存成本、碳交易成本、机组启停成本和弃风弃光成本为目标函数的日前-日内-实时调度模型。算例结果表明,所提模型有效提高了IES的经济效益、低碳效益和能源利用率。

In order to enhance the consumption of renewable energy in integrated energy systems(IES)and achieve low-carbon emissions,this paper proposes a low-carbon scheduling strategy for integrated energy systems that considers demand response and power to gas and carbon capture system(P2G-CCS)coupling at multiple time scales.Firstly,an IES mathematical model with P2G-CCS coupling and considering load side demand response was established.Secondly,a tiered carbon trading model was established to constrain carbon emissions.Finally,a multi-time scale low-carbon scheduling strategy for IES with complementary sources and loads is proposed,and a daily intraday real-time scheduling model is constructed with gas and coal consumption costs,carbon storage costs,carbon trading costs,unit start-up and shutdown costs,and wind and solar curtailment costs as objective functions.The calculation results show that the proposed model effectively improves the economic benefits,low-carbon benefits,and energy utilization efficiency of IES.