考虑碳交易的电-热综合能源系统两阶段鲁棒优化低碳经济调度

Two-stage Robust Optimization of Low-Carbon Economic Dispatch for Electricity-Thermal Integrated Energy System considering Carbon Trade

为有效应对可再生能源出力波动,实现综合能源系统低碳、经济、鲁棒三者平衡,提出考虑碳交易的电-热综合能源系统两阶段鲁棒优化低碳经济调度模型。首先,构建了配置碳捕获设备的综合能源系统模型。其次,采用可调不确定集合描述风电和光伏的出力波动,并以最恶劣情景下成本最小为优化目标,建立了两阶段鲁棒优化调度模型,然后利用列与约束生成算法迭代求解。最后,在调度模型中计及碳交易成本,来限制系统的电能交易以减少间接碳排放,并避免了调度方案的过度保守。结果表明,两阶段鲁棒优化有效提高了系统抵御风险的能力,减少了经济损失;碳交易机制的引入避免了系统过度鲁棒,能够维持低碳运行,实现了系统低碳、经济、鲁棒三者平衡。

This study aims to handle fluctuations in renewable energy effectively and achieve low-carbon,economic,and robust balance optimization in an integrated energy system.A two-stage robust optimization low-carbon economic dispatch model for a park-level integrated energy system that considers carbon trade was proposed.First,an integrated energy system model with carbon capture and storage was constructed.Next,the adjustable uncertainty set was used to describe the fluctuations of wind and photovoltaic output,and a two-stage robust optimization dispatch model was developed with the optimal objective of solving the minimum cost under the worst-case scenario.Subsequently,the column-andconstraint generation algorithm was employed to iteratively solve.Finally,the carbon trading cost was considered in the dispatch model,which limited electricity purchases in the system to reduce indirect carbon emissions and avoid overconservative dispatching schemes.The results show that the two-stage robust optimization method can effectively improve the ability of the system to resist risks and reduce economic loss,and the introduction of a carbon trading mechanism can prevent excessive robustness and maintain low-carbon operation.The proposed method can effectively achieve robust,economical,and low-carbon-balance optimal scheduling for the system.