Scheme Study of Intelligent Planning About Distribution Network Divisional on Spectral Clustering

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Scheme Study of Intelligent Planning About Distribution Network Divisional on Spectral Clustering

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[1]Zhang Zhonghui,Liu Gushuai,Xiong Jianfeng,et al.Scheme Study of Intelligent Planning About Distribution Network Divisional on Spectral Clustering[J].Journal of Zhengzhou University (Engineering Science),2017,38(05):32-38.[doi:10.13705/j.issn.1671-6833.2017.05.022]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 38卷 Number of periods: 2017 05 Page number: 32-38 Column: Public date: 2017-09-26

Title:: Scheme Study of Intelligent Planning About Distribution Network Divisional on Spectral Clustering

Author(s):: Zhang Zhonghui; Liu Gushuai; Xiong Jianfeng; Liu Xiaowan; Xu Gaochao; School of Information Engineering, Nanchang University, Nanchang, Jiangxi, 330031

Keywords:: spectral clustering; charging and battery swap station; laplace matrix; parcel partition; voltage offset

CLC:: -

DOI:: 10.13705/j.issn.1671-6833.2017.05.022

Abstract:: The distribution of charging and battery swap station has always been one of the key problems for the development of electric vehicle.A site location of charging and battery swap station could be represented by a network with traffic flow,the distance from the power source,parcel load,and city block position respectively.Spectral clustering methodology was used to reveal the internal connectivity structure of such a network.First of all,it adopted the min-max standardized method in dimensionless to establish a sample space matrix S.Then,the normalized Laplacian was achived according to the similarity between matrix W and matrix D.The former two and three feature vector of Laplace matrix were mapped to the 2d and 3d space to observe parcel partition.Finally methodology goes beyond the standard k-means algorithm by instead representing the complete network substructure as a dendrogram and verifies its correctness by analyzing the voltage sags.We include the results of our methodology for a real distribution network in Jiangxi province.Example shows that our methodology has certain rationality and it could be helpful for distribution network planning.

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