基于知识图谱与细胞自动机模型的配电网信息系统风险分析  

Analysis of Distribution Network Information Risks Based on Knowledge Graph and Cellular Automata

作　　者：梅冰笑 周金辉 孙翔 MEI Bingxiao;ZHOU Jinhui;SUN Xiang(State Grid Zhejiang Electric Power Company Research Institute,Hangzhou 310007,China)

机构地区：[1]国网浙江省电力有限公司电力科学研究院,浙江杭州310007

出　　处：《中国电力》2022年第10期23-31,44,共10页Electric Power

基　　金：国家自然科学基金资助项目(输变电设备表征缺陷的视频图像检测平台研制,62127803)。

摘　　要：为了刻画配电网中信息系统的风险传播过程,保障电力系统安全可靠运行,利用知识图谱与细胞自动机技术相结合的方法实现对配电网信息系统的风险分析。首先利用知识图谱方法对配电网采集的多源异构信息开展风险知识提取和融合,实现对信息系统风险的静态分析。其次,构建配电网风险分析的细胞自动机模型,设计细胞在正常状态与故障状态之间的转变机制,实现对配电网信息风险发展过程的动态分析。最后结合仿真实验,验证了所提方法能够实现对配电网信息风险跨空间传播过程的有效刻画。In order to describe the propagation process of the information system risks in distribution networks and ensure the safe and reliable operation of power systems, the knowledge graph and cellular automata technology are used to analyze the distribution network information system risks. Firstly, the knowledge graph method is used to extract and fuse the risk knowledge of the multisource heterogeneous information collected from distribution networks, so as to realize static analysis of the information risks.Secondly, a cellular automata model is built for risk analysis of the distribution networks, and the transition mechanism between the normal state and the fault state of the cell is designed to realize dynamic analysis of the evolution process of the distribution network information risks. Finally, based on simulation experiments, it is verified that the proposed method can effectively describe the crossspatial propagation process of the distribution network information risks.

关 键 词：知识图谱 配电网 信息系统 风险分析 细胞自动机 

分 类 号：TM73[电气工程—电力系统及自动化] TP393.08[自动化与计算机技术—计算机应用技术]