电力系统自动化2019，Vol.43Issue(5)：59-65,82,8.DOI:10.7500/AEPS20180318002
城市负荷空间分布的聚类群簇分析
Cluster Analysis on Spatial Distribution of Urban Load
摘要
Abstract
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.关键词
电力负荷空间分布/开源信息/配电网评估/配电网规划Key words
spatial distribution of power load/open source information/distribution network evaluation/distribution network planning引用本文复制引用
刘婉兵,李妍,杜明秋,王少荣..城市负荷空间分布的聚类群簇分析[J].电力系统自动化,2019,43(5):59-65,82,8.基金项目
国家重点研发计划智能电网技术与装备重点专项资助项目(2017YFB0902800) （2017YFB0902800）
This work is supported by Key Project of Smart Grid Technology and Equipment of National Key R&.D Program of China (No. 2017YFB0902800). （No. 2017YFB0902800）
