基于CVaR的高比例光伏区域综合能源系统优化调度

Optimal Scheduling Based on the CVaR Method for Regional Integrated Energy System with High Proportion Photovoltaic

在“双碳”目标的驱动下,以光伏为代表的分布式能源正大规模接入配电系统与配气系统,二者间的耦合也更加紧密,为低碳可持续能源系统的构建带来了新的机遇,然而,由于分布式能源的随机性,其不可避免地造成了两个系统间潜在的运行风险。基于此,本文提出了一种高比例光伏渗透率下区域综合能源系统多时间尺度优化调度模型。首先,在高光伏渗透率的前提下,建立了考虑储能设备的电–气区域综合能源系统日前调度模型,利用二阶锥松弛将模型线性化。其次,基于CVaR风险评估模型的理论基础,建立并简化了损失函数。接着,在实时调度过程中考虑CVaR风险评估模型,建立了考虑CVaR风险评估的区域综合能源系统实时调度模型,以平衡不同风险态度下新能源不确定性导致的风险成本。最后,将上述两个模型合并,建立区域综合能源系统日前–实时多时间尺度调度模型,分析区域电力系统与区域天然气系统之间的相互作用与能量流动。算例分析中,设计了不同的负荷强度方案对模型进行验证,分析了不同方案下系统购电量与不同设备运行参数的变化。结果表明,所提模型可以有效缓解因新能源随机波动带来的运行风险,同时考虑耦合设备的运行调控能够促进区域综合能源系统的耦合运行并取得良好的经济效益。

Driven by the goal of “double carbon”, the distributed energy sources represented by the photovoltaic(PV), is being integrated into the distribution power system and the distribution gas system on a large scale. The coupling between the two systems also has become closer, which brings new opportunities for the construction of low-carbon sustainable energy systems. However, the stochastic nature of distributed energy sources inevitably creates potential operational risks between the two systems. Based on this, this paper proposed a multi-timescale optimal scheduling model for regional integrated energy systems with high proportional PV penetration. Firstly, a day-ahead scheduling model of the electricity-gas integrated regional energy system considering energy storage devices was established under the premise of high PV penetration. The model was linearized by using the second-order-cone relaxation. Secondly, based on the theoretical basis of the CVaR risk assessment model, the loss function was established and simplified. Thirdly, the CVaR risk assessment model was considered in the real-time scheduling process. The real-time scheduling model of the regional integrated energy system considering the CVaR risk assessment was established to balance the risk cost caused by the renewable energy uncertainty under different risk attitudes. Finally, the two aforementioned models were combined. Thus the regional integrated energy system day-ahead-real-time multi-timescale scheduling model was established to analyze the interaction and energy flow between the regional power system and the regional gas system. The model was validated by different load intensity scenarios in the case analysis.The changes of system power purchase and different parameters of equipment operations under different scenarios were also analyzed. The results show that the proposed model can effectively mitigate the operational risks caused by the random fluctuations of new energy sources. At the same time, the operational regulation of the coupled equipment can promote the coupled operation of the regional integrated energy system and achieve good economic benefits.