"双碳"战略和"交通强国"战略使得轨道交通系统向着高效能、高弹性和绿色化的方向发展.轨道交通系统自身具有丰富的资源,通过在其路域铺设新能源,并根据需要配置储能,构建轨道交通自洽能源系统,可实现系统的资产能源化,助力系统向绿色化方向演进.但随机性轨道交通负荷与随机性新能源出力相交织,使得轨道交通自洽能源系统的规划配置面临难题.为此,该文构建了轨道交通路域风力、光伏以及牵引负荷的不确定集合,从而考虑了供需双向不确定性;在此基础上,以年均成本最小为目标函数,并针对牵引变压器等自洽能源系统的组分进行分析,形成系统内各组分应满足的约束条件,从而构建了适应轨道交通运行需求的新能源-储能规划配置两阶段鲁棒优化模型;针对该模型的特点,采用改进列和约束生成(improved column and constraint generation,IC&CG)算法予以求解.算例分析结果表明,所提出的模型可以使得系统的自洽率满足设定要求,并降低了系统的碳排放成本,对推进轨道交通绿色化具有积极的推动作用.
Abstract
The implementation of"carbon peaking and carbon neutrality"strategy and"a country with strong transporta-tion network"strategy promotes the construction of a self-consistent energy system of rail transit with high efficiency and high elasticity,which helps to realize the asset energy and green of the system.This paper constructs a two-stage robust optimization model.First,the uncertainty sets of wind,photovoltaic and traction loads in rail transit are constructed,in which the bidirectional uncertainty of supply and demand is taken into account.On this basis,the minimum annual cost is taken as the objective function,and the constraint conditions that the components of the self-consistent energy system should meet are formed.Then,a two-stage robust optimization model of new energy-energy storage planning and config-uration is constructed to meet the operation needs of rail transit.According to the characteristics of the model,the improved column and constraint generation(IC&CG)algorithm is used to solve the problem.The results of the case study show that the proposed model can facilitate the self-consistent rate of the system to meet the set requirements,and the carbon emission cost of the system will be reduced,which play a positive role in promoting the green rail transit.
维普
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