作者
Ran Li, Chenghong Gu, Furong Li, Gavin Shaddick, Mark Dale
发表日期
2014/12/10
期刊
IEEE Transactions on Power Systems
卷号
30
期号
6
页码范围
3036-3044
出版商
IEEE
简介
In order to improve low voltage (LV) network visibility without extensive monitoring and integrate low carbon technologies (LCTs) in a cost-effective manner, this paper proposes a novel three-stage network load profiling method. It uses real-time information monitored from selective representative areas to develop network templates. The three stages are: clustering, classification and scaling. It can be used to identify the loading conditions of unmonitored LV systems with similar fixed data to those monitored LV substations. In the clustering stage, hierarchical clustering and K-means are used to cluster substations into groups based on the shape of the monitored load profiles. The classification tool designed with multinomial logistic regression maps an unmonitored LV substation into the most probable templates by using routinely available fixed data. Finally, clusterwise weighted constrained regression is employed …
学术搜索中的文章
R Li, C Gu, F Li, G Shaddick, M Dale - IEEE Transactions on Power Systems, 2014