基于负荷聚类与网络等效的配电网多维典型场景生成方法

A Multi-dimensional Typical Scenarios Generation Algorithm for Distribution Network Based on Load Clustering and Network Structure Equivalence

分布式发电接入的配电网规划需要分析接入前后电压分布特征。由于负荷与分布式发电数量多、随机波动等原因,兼顾效率和精度的评估方法一直是研究热点。该文提出一种基于负荷聚类与网络等效的配电网多维典型场景生成方法。首先,基于矢量K-medoids聚类方法,将负荷按照功率波动特征划分为n类,并将分布式发电分为光伏和风电2类;其次,提出一种表征对线路压降影响力大小的节点加权系数计算方法,将辐射状配电网简化为n+2节点等效配电网络;第三,对负荷/光伏、风电分别进行n+1维、1维K-means聚类,并根据聚类中心计算初始网络节点典型场景;最后以某配电网为例,进行算例分析,结果验证了算法的可行性,以及典型场景下电压分布评估结果的准确性。

Distribution network planning of distributed generation has to analyze the characteristics of voltage profile at different nodes before and after the equipment access.Due to the large number of nodes and the stochastic fluctuation of both loads and distributed generation,the efficiency and accuracy assessment method has still been a research hotspot.This paper proposed a multi-dimensional typical scenarios generation algorithm for distribution network based on load clustering and network equivalence.First,based on vector K-medoids clustering method,load nodes were divided into n types according to power fluctuation characteristics.Besides,distributed generation nodes were divided into photovoltaic and wind turbine.Second,a method was presented to calculate the weight coefficient of nodes,representing the influence on line voltage drop.Consequently,a radial distribution network was simplified to n+2 single-node equivalence.Third,n+1 D and 1 D K-means clustering methods were applied to compress the power data of load and that of photovoltaic and wind generation respectively.Then,typical power scenarios of the initial network are calculated according to the clustering center.Finally,a verification with an example of a practical distribution network showed the feasibility of this proposed algorithm and the accuracy of voltage profile assessment in typical scenarios.