考虑电动汽车充电与常规负荷时空相关性的配电网可开放容量评估

Distribution Network Available Capacity Evaluation Considering the Spatiotemporal Correlation of Electric Vehicles Charging Loads and Base Loads

传统配电网可开放容量评估未充分考虑电动汽车充电负荷与常规负荷的时空相关性,导致评估过于保守,难以指导配电网实际规划。为此,提出了一种考虑电动汽车(EV)充电负荷与常规负荷时空相关性的配电网可开放容量评估方法。首先通过考虑EV充电负荷与常规负荷的时空相关性选取负荷典型日;接着构建可开放容量评估鲁棒随机优化模型,并采用KKT条件将其转化成单层模型;最后,在改进IEEE33节点系统上仿真,验证了所提方法的优点。结果表明,相较于传统方法,所提方法基于对负荷相关性的量化,可获得更准确合理的配电网可开放容量。研究结果可为配电网规划提供科学依据。

Conventional available capacity evaluation methods for distribution networks(DN)ignores the spatiotemporal correlation of electric vehicles(EV)charging loads and base loads,resulting in overly conservative evaluation results,which cannot be used to guide the planning of DNs.To address this issue,this paper proposes an DN available capacity method that considers the spatiotemporal correlation of EV loads and normal loads.Firstly,the typical day load is selected by considering the spatiotemporal correlation.Next,a robust stochastic bilevel optimization model is constructed for evaluating the DN available capacity and is transformed into a single-layer model by KKT conditions.Finally,simulations on the modified IEEE 33-bus system verifies the advantages of the proposed method.Compared to conventional methods,the proposed method can obtain a more accurate and reasonable DN available capacity based on the load correlation.This provides a scientific basis for the DN planning.