Cluster Analysis on Spatial Distribution of Urban Load

被引：0
|
作者：
Liu W. [1 ]
Li Y. [1 ]
Du M. [1 ]
Wang S. [1 ]
机构：
[1] State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 05期
关键词：
Distribution network evaluation; Distribution network planning; Open source information; Spatial distribution of power load;
D O I：
10.7500/AEPS20180318002
中图分类号：
学科分类号：
摘要：
The spatial distribution of urban power load provides accurate data of load size and its spatial location, which is the basis and precondition for the evaluation of current distribution network and spatial load forecasting. A clustering analysis method for urban load spatial distribution is proposed. Open source information of users in planning areas on Baidu map based on Python crawler technology is collected and then the building where the users are located and their attributes is identified by regular matching function. Power load is estimated according to the power consumption per unit area of building body to construct a sample set of spatial distribution of power load in which the samples have three attributes: time, space and load power. Further, clustering analysis of medium and low voltage user load is performed based on the two indexes of sample local density and sample spacing and the coordinates of load center, the local load density and the distribution radius of load clusters are calculated on the basis of the clusters' attributes. Finally, taking a power grid of a city as an example, the consistency of the clusters' attribute indicators is compared with the planning data. Rational analysis of substation configuration is carried out and the accuracy and effectiveness of the proposed method is illustrated. © 2019 Automation of Electric Power Systems Press.
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页码：59 / 65and82
页数：6523
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