Network Embedding Algorithm for Vulnerability Assessment of Power Transmission Lines Using Integrated Structure and Attribute Information  

作　　者：Xianglong Lian Tong Qian Zepeng Li Xingyu Chen Wenhu Tang Q.H.Wu 

机构地区：[1]School of Electric Power Engineering,South China University of Technology,Guangzhou 510640,China

出　　处：《CSEE Journal of Power and Energy Systems》2024年第1期351-360,共10页中国电机工程学会电力与能源系统学报（英文）

基　　金：supported in part by the National Natural Science Foundation of China(51977082);Guangdong Basic and Applied Basic Research Foundation(2021A1515110675);the Project funded by China Postdoctoral Science Foundation(2021M701239)。

摘　　要：In power systems,failures of vulnerable lines can trigger large-scale cascading failures,and vulnerability assessment is dedicated to locating these lines and reducing the risks of such failures.Based on a structure and attribute network embedding(SANE)algorithm,a novel quantitative vulnerability analysis method is proposed to identify vulnerable lines in this research.First,a two-layered random walk network with topological and electrical properties of transmission lines is established.Subsequently,based on the weighted degree of nodes in the two-layered network,the inter-layer and intra-layer walking transition probabilities are developed to obtain walk sequences.Then,a Word2Vec algorithm is applied to obtain lowdimension vectors representing transmission lines,according to obtained walk sequences for calculating the vulnerability index of transmissions lines.Finally,the proposed method is compared with three widely used methods in two test systems.Results show the network embedding based method is superior to those comparison methods and can provide guidance for identifying vulnerable lines.

关 键 词：Network embedding random walk transmission lines vulnerability assessment 

分 类 号：TM74[电气工程—电力系统及自动化]